Written by Steve Shi onDigilah(Student Tech Research)
My Bio:
I am a 1st year student at Nanyang Technological University (NTU). Through this article, I aim to discuss the integration of Explainable Artificial Intelligence (XAI) in healthcare to address transparency concerns in AI decision-making. Delving into the world of XAI, the ability to explain and interpret the decisions made by AI algorithms could bridge the gap between technological advancements and the human touch in healthcare.
Introduction:
In recent years, the integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare has surged rapidly, presenting revolutionary opportunities for improving diagnostics, drug discovery, and patient outcomes. However, the escalating reliance on complex AI systems has raised concerns about transparency, accountability, and the interpretability of decision-making processes.
In response to these challenges, Explainable Artificial Intelligence (XAI) has emerged as a key player in making AI systems more transparent and understandable, particularly in the critical realm of healthcare.
In the healthcare sector, where high level of precision, reliability, and accountability are demanded, traditional AI systems are often viewed as “black boxes,” as the internal workings and processes that lead to a particular output or decision are not easily understandable or interpretable by humans, raising doubts about their decision-making processes.
In healthcare applications where lives are at stake, the lack of transparency in AI decision-making processes can lead to critical implications. This concern is addressed by XAI by providing insights into how AI systems arrive at their decisions, offering a level of transparency that is essential for fostering trust and collaboration between AI and healthcare professionals. In addition, XAI goes a step further by offering transparent explanations for medical diagnoses, unravelling the intricacies of drug discovery processes, and demystifying the decision-making landscape in clinical settings.
Figure 1: Healthcare Professional & AI
Medical Diagnosis:
One of the primary applications of XAI in healthcare is in medical diagnosis. AI systems are increasingly utilised to analyse medical images such as X-rays, CT scans, and MRIs to aid in disease detection.
However, the opacity of these systems raises questions about their accuracy and reliability. XAI steps in by generating explanations for the decisions made by AI algorithms, enabling medical professionals to verify and understand the reasoning behind the proposed diagnoses.
This transparency not only enhances the trustworthiness of the AI system but also facilitates collaboration, leading to more accurate diagnoses and improved patient outcomes.
Figure 2: Overall Pipeline of medical XAI application[1]
Drug Discovery and Development:
The drug discovery and development process are areas where XAI is poised to make a significant impact. AI systems play a crucial role in sifting through vast datasets to identify potential drug candidates for various diseases.
However, the lack of transparency in these systems makes it challenging for researchers to comprehend how a specific drug candidate was identified. XAI addresses this by providing clear explanations for the decisions made by the AI system.
This transparency empowers researchers to understand the underlying mechanisms and rationale for the drug discovery process, ultimately leading to the development of more effective and targeted treatments. The result is a streamlined drug development process that saves time and resources.
Figure 3: Illustration of AI model used in the lab[2]
Improving Patient Outcomes and Reducing Healthcare Costs:
Predicting health risks and optimizing treatment plans are vital aspects of healthcare that benefit from AI systems. XAI plays a crucial role in this context by offering transparency and understanding.
By providing clear explanations for the predictions made by AI systems, clinicians can comprehend the reasoning behind a particular decision or recommendation, enhancing clinical confidence, promote the widespread implementation of AI-based clinical decision support systems, and ultimately result in improved patient outcomes and better healthcare delivery. [3]Healthcare professionals can also make informed decisions and interventions, contributing to early disease detection, preventive measures, and ultimately, improved patient outcomes.
Additionally, the transparency afforded by XAI can contribute to reducing healthcare costs by enabling more efficient resource allocation and strategic decision-making.
Challenges in Implementing XAI in Healthcare:
While the potential benefits of XAI in healthcare are immense, implementation comes with its set of challenges. As AI systems become more complex, finding the right balance between simplicity and accuracy, is essential to ensure that the transparency offered by XAI does not compromise the reliability of AI systems.
Additionally, standardisation and guidelines for implementing XAI in healthcare[4] are also needed to guarantee the transparency and reliability of the AI systems. Furthermore, ensuring that explanations align with human models is an also ongoing area of research.
The Future of XAI in Healthcare:
As the integration of AI in healthcare continues to evolve, the role of XAI becomes increasingly pivotal. Its potential to enhance transparency, trust, and collaboration between humans and AI systems has far-reaching implications for the industry.
Ongoing research and development in XAI will likely address current challenges and contribute to the standardisation of practices in healthcare. The future holds promise for XAI to revolutionise healthcare practices, ensuring that the benefits of AI are harnessed responsibly and ethically for the betterment of patient care.
Conclusion:
Explainable Artificial Intelligence is on the verge of transforming the landscape of healthcare. From enhancing the interpretability of medical diagnoses and drug discovery processes to improving patient outcomes and addressing ethical concerns, XAI stands as a beacon of transparency in the realm of AI applications.
The integration of XAI in healthcare promises a future where AI systems work seamlessly with healthcare professionals, leading to more accurate diagnoses, efficient drug development, and ultimately, improved healthcare for all. As the journey of XAI in healthcare progresses, it is essential to continue refining its implementation, ensuring that transparency and accountability remain at the forefront of technological advancements in the pursuit of a healthier future.
References:
Göllner, S. (2022, August 11). State of the art of Explainable AI in Healthcare in 2022. Medium.
Jin, W., Li, X., Fatehi, M., & Hamarneh, G. (2023). Guidelines and evaluation of clinical explainable AI in medical image analysis. Medical Image Analysis, 84, 102684.
XAI steps in by generating explanations for the decisions made by AI algorithms, enabling medical professionals to verify and understand the reasoning behind the proposed diagnoses.
What are the key benefits of integrating XAI into healthcare practices?
Integrating XAI fosters trust and collaboration, leading to accurate diagnoses, streamlined drug development and better patient outcomes.
Most searched queries
Magnetic Resonance Imaging (MRI)
Computed Tomography (CT) scan
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In this article Danielle (Financial Investment expert) and Ajit (AR, VR and Web 3 expert) jointly explore:
Fintech Cyber Security dos and donts
Investment education on Finance 101
Below is a video by the writers themselves high lighting the key take aways from the writeup. Reach out to them if you want a 101 with them to learn more.
Danielle’s thoughts on Fintech Cyber Security
The need for cyber security has become paramount in today’s modern age, particularly in the fintech and financial space. Being in this industry myself, I handle sensitive client data daily, and have access to their online wealth accounts; it is therefore vital that their information stays safe and inaccessible to fraudsters. Robust security measures must be in place, and I am constantly having to upgrade and refresh my skills to keep my clients safe.
Whilst fintech has allowed for financial services to become more streamlined, convenient, and efficient, it has somewhat opened the floodgates for cyber-attacks and threats. Harvard Business Review reported a 20% increase in data breaches from 2022 to 2023, and this is set to increase further as the years progress. Not only does this mean we have to constantly upgrade our software and infrastructure, but human area can become a massive opportunity for cyber criminals. I truly believe that a two-pronged approach of new regulatory processes, along with using AI in cybersecurity is a dynamic tactic to tackle this ever-evolving problem.
Cyber security is now seeing the same level of regulation as every other type of security, which means that fintech companies in particular must adhere to stringent rules and procedures. Regulations such as the General Data Protection Regulation (GDPR) and the Payment Card Industry Data Security Standard (PCI DSS) must be followed. Whilst of course this is best practice to ensure that clients’ data is safe, it therefore adds an extra strain onto the company and its employees; this may lead to delayed admin processes, longer lead time for new business submission and therefore, a time delay in profit for the company. Time is money, and the longer it takes for profit to be made, it essentially means smaller margins for the company.
One way this can be tackled is with Artificial Intelligence. Whilst using manpower takes time and money (not to mention the risk of human error), AI systems can scan masses of data sets, analyse data, spot anomalies, and therefore detect possible cyber risks before they have even happened. This preventative method ensures that risks are managed efficiently, and before they become breaches, which means a safer system for the clients, and mitigates possible reputation risk for the company.
However, AI is not a final solution; with cybercriminals’ techniques ever evolving, it means that AI will have to do the same. Not only that, employees must keep re-training when new systems are introduced, to ensure that human error is kept to a minimum. Moreover, one must ensure that the third-party companies engaged to deliver this AI system, is also compliant, safe, and follows the stringent regulations set in place for fintech companies to adhere to.
But the buck doesn’t just stop with the company- clients and customers must also stay vigilant so that they don’t fall victim to cyber-crime.
For example, being able to spot a phishing email, not clicking on unknown links, and not giving out all your banking details to someone over the phone. In order for an individual to be savvy, particularly when it comes to fintech and online financial transactions, they must be aware of risks and know when and where it is appropriate to give out their financial information. If you engage a professional for your financial planning, of course you will have to make them aware of your personal details and possibly even bank details. But do take note that they should be encrypting or password-protecting any sensitive documents that are being sent to you.
Even if you are planning your finances alone, and are using platforms for your investing, be sure to do your own due diligence; ensure that the apps you are using are regulated and have secure payment systems. Do take note that most will require you to upload some form of identification, as well as declaring your tax residency. Whilst to a layman, this may seem intrusive, this is actually a sign that the platform is doing its part to adhere to compliance and regulations. If they don’t ask of these from you, it could be a sign that the platform is not regulated.
For those that plan their investing and finances alone, cybersecurity becomes an even bigger risk, as this is normally something that a large corporation would have to ensure the safety of first, but now it is being left to the individual investor. If you are considering planning your finances yourself, having basic understanding and knowledge is incredibly important.
Therefore, I often suggest that people understand four main areas before they start investing, which I will explore further in this article.
Over to my co-writer Ajit who introduces how metaverse and block chain technology will probably bring future solutions to curtail fraud in our highly susceptible finance industry.
Ajit’s thoughts on Fintech Cyber Security
Background
When we analyse the extent of online fraud and scams, it’s a bit bewildering! As per FTC in US, online scams tend to harm more young people than the elderly. In 2021, Gen Xers, Millennials, and Gen Z young adults (ages 18-59) were 34% more likely than older adults (ages 60 and over) to report losing money to fraud like online shopping scams as well as job scams. Most of the elderly, on the other hand, are victims of tech support calls duping them of their earnings. The median reported loss was $800 for people 70-79, and a whopping $1,500 for those 80 and over. On the other hand, the median individual reported fraud loss by people 18-59 was $500 in 2021.
As the fastest growing economy in the world, India is no stranger to online frauds. 62% of the frauds affect the age group 18-52 as per data from 2018. With robust infrastructure around UPI, this number is bound to decrease.
Blockchain Technology to the Rescue
With weakening currencies in countries like Zimbabwe and Venezuela and hackers from China and Russia, the attacks will only amplify, in the years ahead. There is an urgent need to safeguard individual financial earnings, leveraging technologies like AI and Blockchain. While they are large and independent technologies, they form a core part of the Metaverse. They are the processing as well as the security layer of the Metaverse. Many futurists have predicted that our interactions will be with digital twins of institutions and banks in the Metaverse.
Fast forward to 5 years from now and the permutations and combinations of frauds and financial losses for individuals will only amplify. The promise of Blockchain is to essentially safeguard the assets and investments of individuals as well as organizations. By utilising blockchain, banks can set up a secure and tamper-proof ledger of all financial transactions.
With real-time monitoring and instant access to transaction records across the blockchain, organizations can track and analyze transactions in real-time, allowing them to detect and prevent fraud as it occurs. The trust architected within the technology enables seamless detection.
Challenges with Emerging Technologies
As has been the scenario with any technologies when they are new, be it Television or Computers or even Gaming, new technologies take time to be accepted mainstream owing to numerous challenges. Some of the challenges with Blockchain technology are as follows.
Evolving Technology – Until a technology is adopted mainstream, the maturity of the technology is determined by its limited set of users. The technology is tested for various scenarios by the very same users. Much like the planets move across the solar system with time, in addition to their rotation and revolution, the world is ever evolving with all its volatilities, uncertainties, complexities and ambiguities. No system can be tested for robustness without the volume of usage which only comes with higher adoption. Blockchain technology needs to cross this bridge to deliver on its promises of safety, security, and robustness.
Data Privacy Concerns – The more data that’s visible to Blockchain (and AI), the more seamless the tracking of frauds. But, from a user’s perspective, it warrants sensitive data to be made available, traceable at all times. With GDPR norms in Europe as well as upcoming Data Privacy Bill in India, Blockchain as it stands today, seems to conflict with the regulations.
Energy Consumption and Infrastructure – With ESG goals being one of the focus areas across organizations and Governments, the carbon footprint recorded by emerging technologies like Blockchain and AI, with cloud-based high-compute, tends to be on the higher side. There is a need for hardware optimization to be able to leverage the technology to its potential, in an environmentally responsible way.
In conclusion, Blockchain technology will serve as the protective layer of the Metaverse and will be at the forefront of minimising frauds and innovations around it. There is a need to accelerate the adoption of the technology to ensure its robustness to enable us to face the challenges of Metaverse in time.
Over to my co-writer Danielle who simplifies investing basics and how your hard earned money can work harder for you.
Danielle on Finance 101
I have many clients and connections that I come across asking me for advice on how to get their finances in order. ‘How can we maximise what we have now, so that we can make the most of our money later?’. Of course, one of the best passive things we can do, is to invest.
Investing is the concept of allocating assets, usually money, into different financial vehicles to create a profit. The bare minimum investment should be doing is beating inflation, because over time our hard-earned money is worth less, due to the rising cost of products. Before one starts investing, it is best to have a clear strategy, and get the basics covered first. Here are a few key financial areas you should have planned for:
1. Build an Emergency Fund
At a glance investing may seem like an obvious choice when it comes to saving money. Why not just throw all your savings into investment if it means high returns? The answer is that investment returns are NOT guaranteed– even the safest investments come with some risk, and sometimes the lock in periods are high, or the penalty for withdrawing early is expensive. To ensure that you are not over-investing, make sure that you have an emergency savings fund that is easily accessible. That way should an emergency arise (like a large hospital bill or having to pay for car repairs), you can use your emergency money instead of jeopardising your investments.
The recommended amount you should have in your emergency fund is 3-6 months of your monthly salary. This should be a healthy buffer should the worst happen. If you already have more than that, then that’s a great time to consider investing.
2. Know How to Budget
Of course, setting aside for investment would be impossible if you didn’t know how much to set aside. That’s why organising your budget is a crucial step in your financial planning. There are many ways and methods for planning, but a good starting point would be the 50/20/30 rule:
50% of your monthly salary maximum should go on things you need to pay for: housing, bills, groceries & insurance.
30% can go on doing the things you enjoy: hobbies, drinks and travel.
20% should go into your savings: think about your long term savings and investment goals.
If you have surplus each month, you can even consider increasing this 20% to a higher proportion and allocate more into your investment goals.
3. Be Debt-Free
Before you do any investing, you should really consider paying off your debt. Having a credit card bill is fine, but having any large or bad debt will hinder you in your long-term goals. It seems counter-productive attempting to make lots of money with investments, whilst paying off lots of debt. It may be difficult paying off student debt or large loans, but you will reap the benefits in the long run when your debt isn’t eating into your assets.
4.Set Your Investment Goals
This is arguably the most important step, defining your goals. What is the reason for investing? If you are doing it out of pure greed, then your judgment will become clouded when it comes to riskier investments, and you risk losing it all. So have a long and hard think about why you want to invest. You are putting your money, that you worked hard for, somewhere that could give you high returns, or give you nothing.
Therefore, it’s best to have a long think and define some clear goals for your future. Do you want to plan for your retirement? Save for a house? Pass something on to your children? Whatever it is, decide how much you would need and by when. Most investments give better returns if you have a longer-term commitment, so it’s OK to think big. If you have no clue and are just investing for the sake of it, you will quickly lose your drive and passion for making money.
These steps may seem simple, but they really are the key to an effective investment strategy. I work with clients every day to ensure that they have budgeted correctly, serviced their debt, and built an emergency fund, and together we work together to work towards their financial goals. Many find that this is more complex than they first thought and will include tax planning and ensuring that their assets are protected. This is of course one of the added benefits of hiring a professional. If you feel that these services are something you would require, feel free to reach out at Danielle.teboul@sjpp.asia or click here.
Over to my co-writer Ajit who tells us that finance 101 is best learnt by engaging emerging technologies like AR, VR as it helps in educating about financial products to customers in a more engaging and impactful manner and to all age groups, across the economic strata.
Ajit on Finance 101
Background
In its “Economic Well-Being of U.S. Households in 2022” report, the U.S. Federal Reserve System Board of Governors found that many Americans are unprepared for retirement. Twenty-eight percent indicated that they have no retirement savings, and about 31% of those not yet retired felt that their retirement savings are on track. Among those who have self-directed retirement savings, about 63% admitted to feeling low levels of confidence in making retirement decisions. Low financial literacy has left millennials—the largest share of the American workforce—unprepared for a severe financial crisis, according to research by the TIAA Institute. Even among those who report having a high knowledge of personal finance, only 19% answered questions about fundamental financial concepts correctly.
A 2021 survey by the Federal Reserve Bank of San Francisco revealed that 28% of all payments were via credit card, with only 20% being made in cash. In India this is bound to be much more skewed in favour of digital payments, with the ubiquitous presence of UPI. Given high volume of online transactions and multiple banking products for individuals, there is a need for greater financial literacy to ensure every individual makes the most of her hard-earned money.
Financial Literacy can cover short-term as well as long-term financial strategies. The key is to simulate WHAT-IF scenarios of various investment decisions and visualise their impact across years and even decades, well in advance. Today, most of this occurs in MS Excel and is largely based on linear data projections or on a logarithmic scale. Can we visualize the consequences of our financial choices with the advent of technologies like AI and machine learning (ML) models? I believe so. To top it, consider it as a visualised, gamified scenario builder in Virtual Reality (VR), the visual layer of the Metaverse.
Role of Immersive Technologies
Imagine your financial investments playing out their profit-loss cycles across decades, thanks to AI modelling. These What-if scenarios would provide greater education and retention of one’s decision-making as far as financial instruments are concerned. As newer products enter the market, a constant training to these models will ensure the What-if scenarios remain invaluable for you as in individual investor. Taking it a step further and looking at visually gamifying the entire basics of financial literacy (Finance 101), it could prove to be a powerful learning tool for students in schools and colleges as well as working professionals.
Memory retention with VR is far greater than attending lectures, videos or e-learning modules. While the learning retention is only 5 percent for lectures and 10 percent for reading, we find VR among the top 2 with a learning retention of 75 percent. VR training is only beaten by learning that happens through educating others, where the learning retention is at 90 percent.
The learnability and application of knowledge would become second nature for every individual, thereby raising financial literacy, exponentially. There is a need to tap into the power of this technology for a crucial knowledge capsule that’s absent in the masses. This would ensure financial stability and growth in every individual beyond the cycles of survival and existence.
In conclusion there is a need to increase financial literacy in global population and immersive technologies like VR ably powered by AI could prove to be transformative in serving this need. Technology is the biggest leveller across urban and rural communities worldwide and hence could serve as a powerful tool ushering in this much needed aspect among various facets of literacy, financial or otherwise.
Whilst using manpower takes time and money, AI systems can scan masses of data sets, analyse data, spot anomalies, and therefore detect possible cyber risks before they have even happened.
What is 50/20/30 rule of financial planning?
50% of your monthly salary maximum should go on things you need to pay for: housing, bills, groceries & insurance. 30% can go on doing the things you enjoy: hobbies, drinks and travel. 20% should go into your savings: think about your long term savings and investment goals.
Most Seached Queries
Virtual Reality (VR)
General Data Protection Regulation (GDPR)
Payment Card Industry Data Security Standard (PCI DSS)
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I am Amar Kumar, pursuing BTech in chemical engineering from IIT Guwahati. Being a first-year engineering student and a tech enthusiast, I am in awe of the drastic ways technology has and continues to shape the future of engineering. Among the most revolutionary innovations, Artificial Intelligence stands out as a transformative force that is reshaping the engineering landscape. From optimizing processes to enhancing decision-making, AI has proven to be an invaluable model in the field of engineering.
In the engineering sector, design and simulation play a pivotal role in product development and problem-solving. AI-powered algorithms have significantly enhanced these processes, making them faster and more precise. AI can analyse large amounts of data to identify patterns, optimize designs, and stimulate real-world problems with accuracy.
With AI-driven generative designs, engineers can now explore countless design possibilities, leading to innovative solutions that were previously difficult to comprehend. This expedites the prototyping phase and ultimately reduces time-to-market for the products.
The introduction of automated systems, such as self-driving cars and unmanned aerial vehicles (UAVs), only became possible due to advancements in AI and machine learning. Engineers in the sectors of automotive and aerospace industries are at the forefront of developing such technologies.
By combining computer vision, sensor fusion, and decision-making algorithms, automated systems can navigate complex environments, adhere to traffic rules, and adapt to changing conditions. The potential benefits of these systems are vast, ranging from increased road safety to improved logistics and efficiency in transportation. One of the best example for this is the car Tesla of CEO Elon Musk.
AI’s influence has also extended into other sectors such as healthcare, overseeing a revolution in aspects like diagnosis, treatment, and patient care. AI algorithms can analyse large datasets to identify potential drug candidates and optimize treatment plans while AI-powered medical imaging has increased accuracy in identifying diseases, viruses, mutations and abnormalities.
In biomedical engineering, AI-driven simulations aid in designing medical devices and prosthetics, resulting in better patient outcomes and improved quality of life.
In an era of growing environmental concerns, engineers are tasked with finding sustainable solutions to pressing global challenges. AI has played a crucial role in fostering eco-friendly practices across industries. For instance, it has enabled smart energy grids that optimize energy distribution and consumption.
AI algorithms can predict energy demand patterns, allowing for efficient allocation of resources and reducing waste. Additionally, AI is used in environmental monitoring to track air and water quality, enabling early detection of pollution and facilitating remedial actions.
As a tech enthusiast and engineering student, I am incredibly excited about the role Artificial Intelligence will play in shaping the future of engineering. From transforming design processes to enabling automated systems and promoting sustainability, AI has opened a door to new possibilities and challenges for engineers across the globe.
As technology continues to advance, it is imperative for aspiring engineers to embrace AI as a powerful tool in their arsenal. By harnessing the potential of AI responsibly, engineers can drive innovation and create a more efficient, sustainable, and technologically advanced world for generations to come.
AI is used in environmental monitoring to track air and water quality, enabling early detection of pollution and facilitating remedial actions.
How AI supports the field of biomedical engineering?
In biomedical engineering, AI-driven simulations aid in designing medical devices and prosthetics, resulting in better patient outcomes and improved quality of life.
Most searched queries
Unmanned Aerial Vehicles (UAVs)
Computer vision
Sensor fusion
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We stand at the crest of a tidal wave of technological disruption. Artificial intelligence is automating tasks that have consumed our productive hours for decades: data entry, analysis, manufacturing, and creative work. AI systems can now shoulder the repetitive drudgery, freeing our time and consciousness for higher pursuits.
Leading companies have already embraced this automation revolution. At JPMorgan Chase, AI models now handle mundane tasks like data entry and document processing, saving the bank 360,000 hours of work annually. Pharmaceutical giant Novartis uses AI to crunch massive datasets and rapidly identify promising new drug candidates based on molecular interactions.
Embracing Our Humanity
Rather than viewing AI as a threat, we should welcome it as a liberating force to help us reclaim our humanity. By offloading rote labor to intelligent machines, we can redirect our energy toward the uniquely human capacities that spark innovation, deeper connection, and meaning.
An Abundance of Possibility
AI is gifting us a precious new resource: time. Imagine an extra 20–30 hours per week because tedious tasks were automated by intelligent systems. How might you spend that liberated time?
You could finally nurture creative passions—painting, music, and writing. Be truly present with loved ones on adventures over heartfelt conversations. Prioritize nourishing self-care like exercise, cooking nourishing meals, and mindfulness practices.
AI handles the draining, obligatory labor that consumes so many hours. In doing so, it provides the ultimate modern luxury: abundant time to experience the simple joys that light up our human spirits. We regain the spaciousness to live each day with more intention, purpose, and richness.
The automation revolution doesn’t just optimize productivity. It alchemizes our most limited resource into an abundance of what makes us feel vibrantly alive. How will you spend this reclaimed gift of time?
Catalyzing a New Renaissance
Some fear AI will make us lazy, unskilled, and purposeless. However, unburdened from menial, robotic toil, we’re empowered to cultivate the loftier capacities that only we possess: abstract reasoning, emotional intelligence, and radical ingenuity. AI could catalyze an explosive renaissance across the spheres of human inquiry, creation, and growth.
Consider how Pfizer adopted natural language processing AI to scan millions of genetic databases and academic papers, accelerating the identification of a potential drug target for COVID-19. Augmented by AI’s analytical scale, human scientists and physicians can rapidly unearth insights that dramatically accelerate innovation.
Uplifting Society’s Masses
Most transformative, AI-driven production efficiencies and abundance can economically uplift millions globally from the cycle of empty labor performed solely for survival. By making the essentials of comfortable living affordable for all through advanced AI systems, we expand access to quality education, creative leisure, and self-actualization for humanity’s masses—key drivers of cooperation, societal flourishing, and progress.
Human Skills for the AI Age
But to truly thrive in this era, we must cultivate the vital human skills that intelligent machines cannot yet replicate: creativity, emotional intelligence, adaptability, grit, and a sense of higher purpose.
As “The Happy Doctor,” I’ve spent 28 years helping thousands of professionals across six continents unlock these capacities through science-backed strategies blended with spiritual wisdom and transformative frameworks. Top companies like AC Delco, Continental, Qualcomm,Fitness First, Commonwealth Bank & Trust Company, ITC Hotels, Famous Amos, and Kawasaki covet my guidance to inspire thriving, engaged, innovative cultures amidst the uncertainties of technological upheaval.
Rekindling Human-Centered Living
Ultimately, the rise of AI beckons a revival of human-centric living. As intelligent systems take on ever more obligatory labor, we gain the freedom to mindfully sculpt our days and energies with greater intention. We rekindle imagination, emotional depth, and purposeful presence—the wellsprings of rich, vibrant, and meaningful living. AI is not a threat, but an invitation to reconnect with the essence of our humanity.
The future made possible by AI is wondrous if we have the wisdom to embrace its liberating possibilities. Let’s harness this powerful technology not just for the sake of automating efficiencies but as a catalyst to unleash the highest, brightest, and most joyful expression of our human potential.
A testimonial for my work I would like to share: Happiness Hero Sparking: A Global Awakening
One conversation with Suresh and his vibe is infectious—you’ll see why he’s called “The Happy Doctor.” This pioneering thought leader blends spiritual wisdom, science, and transformative methods to awaken human excellence amidst technological change. Suresh has ignited tens of thousands across six continents, proving happiness is an essential skill we can cultivate. His work unlocks creativity, resilience, and boundless potential—key qualities companies need to thrive.
Most asked questions
How is AI helping the banks?
At JPMorgan Chase, AI models now handle mundane tasks like data entry and document processing, saving the bank 360,000 hours of work annually.
How much time does AI help us to save weekly?
AI can help us save 20-30 hours per week and gifts us a beautiful opportunity to upskill ourselves.
What is the purpose of Pfizer?
Pfizer is an American multinational pharmaceutical company. It also took the initiative to produce vaccines against the COVID-19 pandemic.
Who is known as “The Happy Doctor” and why?
Dr. Suresh Devnani is called “The Happy Doctor.” He is a tech thought leader who blends spiritual wisdom, science, and transformative methods to awaken human excellence amidst technological change.
Most searched queries
Novartis
Pfizer
Artificial Intelligence
Emotional Intelligence
Automation revolution
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I am Sharnaya Panag, a graduate of O. P. Jindal Global University with a Journalism and Communication degree. I am fascinated by the hold machine and IoT has on our species, knowing that what has become of us, cannot be undone. My greatest interest is understanding and writing about our Psyche and the future we will create for ourselves.
Can mankind’s unquenchable thirst to make life easier lead to our own downfall?
It was around 5 million years ago that for the first time, the planet witnessed the breakthrough of sentient life. Nature created a species so astute, one that would never act on behalf of the will of the planet, but the will of itself.
Since Man’s inception, there has been one thing that has remained constant throughout our history. If the past has shown us one thing it is that humanity will go to great lengths to create a life of increasing comfort.
We have a very deep connection with our past, as our ancestors left behind a trail of evidence to help us decode our history. The more we read, the more it helps us to communicate with the past.
One can take a look through manifold scriptures, some pieces of literature or even just a page out of a diary, and for a moment the reader gets to delve into the mind of somebody who lived ages before they did.
This highlights the significance of reportage, why is it so important for us to report? Not just for the present, to spread awareness, but also to leave proper documentation for the future to analyse, just as we have been doing with documents of the past, trying to connect the dots of history.
Over the course of our time, man has remained invested in breaking through to new technological advances to make everyday life easier.
Machine was created to cut down on physical labour and for the first time, the world saw the mass production of goods in rapid time.
Fast forward to 2023, and we are now sitting in a world entirely supported by machine. The time of self-sufficiency is over. In our society, our lives wholly revolve around them for the sake of our comfort.
Phones, laptops, cars, aeroplanes, trains, ATMs, air conditioners, and heaters, are just a few appliances we use on a daily basis, without which the lives of many would crumble.
However, the invention that completely altered the course of our evolution would be the invention of the internet. 30 years ago, on the 30th of April, 1993, the World Wide Web was made accessible to the public.
It crept its way to every nook and cranny it could and now trillion gigabytes of data are in the hands of each and every human being that can afford to access it. The overall pace picked up by humanity seemed to be quicker than ever before.
This, of course, was also not enough. Mankind is always willing to test its limits. Hence came the next chapter, the creation of an artificial body, an entity in itself. The creation of machine to decrease physical labour felt inadequate.
Man wanted life to be effortless, we consider ourselves so superior, that we refuse to even think for ourselves, therefore the creation of Artificial Intelligence. The most popular example of this would be Chat GPT, launched on the 30th of November, 2022, an AI created to help people structure their thoughts and opinions into words not written by themselves.
Artificial Intelligence is a body that has been created to think for us. To research data, store it, assimilate it, paraphrase it, and structure it in detail in the form required by the user. Chat GPT uses web scraping as a tool using automated methods to scan websites, retrieve data and synthesize it to provide the user with a well-grounded assimilation of it.
It also has a plug-in feature which allows it to interconnect with third-party websites. Chat GPT uses the Bing API which permits two or more computer programs to communicate and uses it to navigate through the web to gather data. It can cite every source so that the user has access to every website it went through.
Students are now using Chat GPT to write their assignments, and even people working in multinational corporations use it to assimilate data and statistics. The need has become so severe that people are now using it to write mail since formatting an e-mail has become such a task.
We are dealing with an entity beyond our understanding. A trillion gigabytes of data, endless information at the fingertips of this AI. The majesty of the human brain is undeniable, but can the brain possibly compete with an AI whose brain we can potentially attribute to the entire internet?
There is nothing stopping companies from permanently resorting to using AI to achieve profitability. The wheel is already set in motion, just in the month of July of 2022, the founder and CEO of e-commerce firm Dukaan, Suumit Shah took to X(formerly called Twitter) to announce that 90% of the customer crew of his company has been replaced by an AI chatbot.
He added that the response time has dropped from a whopping two hours to just three minutes and the cost related to customer care was brought down by 85%.
Being sentient beings, our species has evolved beyond belief. We have the privilege to read or write anything we desire in detail, and we can preserve our beliefs for future generations. The world today is obsessed with taking the easy way out because of how fast-paced society has become.
In the past writers, and documentarians from all over the globe went to great lengths to collect, assimilate, and structure data. People spent years trying to extract the information necessary, going through extensive bodies of work, scriptures, research papers, articles, books, speeches, and various other documents.
They did this all to keep the populace aware of world events, to provide them with entertainment or even just writing for fun.
At the centre of it all remains effort, and creativity. However, now there is an entity that can produce material in a matter of seconds, in turn reducing the effort we put in to educate ourselves, leading to the inevitable culmination of creativity.
Without creativity, our credibility to commit to the task will be put to the test. Our skills may fall short in the face of Artificial Intelligence. Looking at journalism and writing as an example, will man be able to make the effort and hold on to creativity?
The problem is that if our mind isn’t put to work, and is given constant chances to escape effort, it will lead to the impotency of the human brain. If the students of today use interfaces as a loophole to avoid the task at hand, the pattern will spread and over the course of time, it is bound to become a habit.
In the near future, resorting to Artificial Intelligence will become the norm, just as relying on machinery, technology, and the internet became the social norm.
The facts are displayed in front of us very clearly. Humanity must be able to spot the pattern otherwise all we can do is sit back and watch our own downfall. Companies will always vouch for their profitability and benefit. It will be difficult to hold on to reality as we know it.
There will be no jobs left for man if we accept and allow AI to become a part of our lives and the social norm. The progress of Artificial intelligence must be put to a stop or at least slowed for the preservation of the future of upcoming generations.
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For those of us mere mortals, aka not art inclined, we may think of art as the sole bastion of talented creative masters. These individuals epitomise the very best of human creativity.
On the fundamental level, art is really not just limited to the masters, everyone of us can indulge in a spot of artistic creativity.
We’ve been using art as an intrinsic way of expressing ourselves; our emotions, and our knowledge to other people.
If we think of art in this way, it can be seen as a form of communication that is unique to us humans. However, recent events have shown that Artificial Intelligence (A.I.) has begun to intrude into the art scene.
An example would be the painting, Edmond de Belamy that was sold for $432,500 – nearly 45 times its highest estimate. This begs us to question if A.I. has begun to eat into this realm that once belonged only to humans.
The present
Currently, A.I. hasn’t had too much influence over the art industry. With people still producing paintings and music albums, we can still believe that art is something that’s made by humans.
However, like the example above, we’re already starting to see signs of A.I. creating paintings. ‘Edmond de Belamy’ is an A.I.-generated painting by a Paris-based collective called Obvious.
Hugo Caselles-Dupré, a member of Obvious, said that “We found that portraits provided the best way to illustrate our point, which is that algorithms are able to emulate creativity”.
Just like Edmond de Belamy, A.I. is also taking its baby steps into the music industry. One example of this is a program called ‘OpenAI’.
As Jon Porter from TheVerge says, “OpenAI’s MuseNet is a new online tool that uses A.I. to generate songs with as many as 10 different instruments”.
Not only that, but it can create music in as many as 15 different styles, imitating classical composers like Mozart, contemporary artists like Lady Gaga, or genres like bluegrass or even video game music”. Soon enough, there’s likely to be A.I.-generated songs and art forms.
Now, the question here is –
If artificial intelligence were to be able to emulate creativity, would that be beneficial or disadvantageous to us?
Would artists still be able to create inspiring artworks? Would musicians still be able to create soothing pieces?
Or would all these be taken away from us, and be dominated by A.I.?
We’re already over-reliant on technology in many parts of our lives, and that reliance on technology might rub off with the art scene, and lead us into losing the ability to differentiate human-created art and A.I.-created art.
We might also be wholly dependent on technology in the future to be creative. This might sound a bit far stretched, but it is definitely something that could happen.
AI and Machine Learning
With these questions in mind, we have to plan out the risks that we might take by letting A.I. into the art and music industries.
It might be like letting babies into a playground, or it might be like letting a pack of wolves into a herd of sheep.
As of right now, A.I. definitely isn’t able to create art with the same quality as humans.
They’re only able to create art from taking the data provided to them and piecing them together, making them seem unique, but in fact they are still replicated from human creativity.
This is because “art” is a complex thing. It’s not simple for A.I to just learn how to make art out of nowhere. Ken Weiner, a blogger on Scientific American, says that
“Even though the Cloudpainter machine (an artificially intelligent painting robot) has evolved over time to become a highly intelligent system capable of making creative decisions of its own accord, the final piece of work could only be described as a collaboration between human and machine”.
What this means is that with our current set of technologies, the artwork of any A.I still involves a human touch. But what about the future?
There is something called ‘machine learning’, and it is an application of artificial intelligence that provides the system with an ability to take in data and learn and improve from its past experiences and uses.
This is extremely important since machine learning could allow A.I. to create distinctive forms of art and music that may not even closely resemble the input data, opening the concepts of originality and creativity to A.I.-generated art and music.
The future
In the future, with the development of machine learning and A.I., the question is: Is this handmade, or is this made by A.I.?
A.I.-generated images already lurk around in our daily lives, and we might not even notice it until we look more closely.
A.I.-generated faces, where they take 2 different photos and merge them together; or Snapchat filters, where they locate different spots on your face, such as your nose or your eyes, and put a mask on it, are both examples of A.I.-generated images and videos that have become part of our daily lives.
Sooner or later, A.I., along with the help of machine learning, will be able to adapt to our current world and will eventually create everything for us.
Art would be made by taking previous paintings in order to make a new one, while music would be made by taking previous songs of a specific genre and re-produce beats, patterns, and rhythms all on its own.
A.I. might even emulate human creativity and produce never-before-seen pieces of art.
It feels like we are on the verge of an A.I. revolution in the art and music scene. Just like how jobs were changed, for better or worse during the industrial revolution, A.I. may change the way we view and appreciate music.
New, different art and music styles could be produced, styles of the past like Mozart’s music could be recreated, resurrected, revamped.
The question here is, in what way will A.I. change the art and music world, and how would we, being creatures able to emulate creativity and the people who gave life to these machines in the first place, deal with it?
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The automotive industry is rapidly adapting to the demands of connected mobility. The rise of autonomous and electric vehicles will create new challenges for manufacturers, who must implement solutions that will help them meet changing consumer needs. These vehicles are expected to require more computing power than traditional cars, which leads us to ask: What does this mean for aftermarket solutions?
What does this mean for aftermarket solutions?
As both traditional and autonomous cars become more automated, and more intelligent, the use of geospatial technology is proliferating.Geospatial intelligence (GEOINT) is the use of data and technology to improve the way we make decisions. It’s a key component of connected mobility, which refers to how vehicles communicate with each other or with infrastructure.
In autonomous vehicles, geospatial intelligence can be used to collect real-time information about road conditions as well as traffic patterns—which can help a vehicle avoid hazards that could otherwise cause an accident or delay. This type of information can also be useful for collecting data on weather conditions, or even hazards like ice on the roads during winter months.
Connected cars are another place where geospatial intelligence is being applied: they collect both driver behavior data and location information via onboard sensors that provide insights into driver quality control and safety measures such as speeding or harsh braking incidents.
But what exactly does that mean for the future of cars?
Geospatial intelligence (GEOINT) is a broad term that refers to information gathered from satellite data and other sources in order to identify people, places, and objects.
Using GEOINT, we can determine the location of a person or object within a specific area. This allows us to collect data on the location of vehicles on roads at any given time—information which is then used by car manufacturers and other companies to improve their products and services. For example, knowing where cars are parked may help you find your way into an underground parking lot before you run out of battery power in your electric vehicle; it can also be used by municipalities when designing new roads so they can plan how many lanes will be needed for traffic flow.
And how does it work?
Driving intelligence solutions allow manufacturers and OEMs to identify and engage with their customers based on their driving behavior. The solution is designed to be used by the driver, who can also access it from an app on their phone or tablet. Using this technology, car manufacturers can:
Monitor vehicle location & speed
Identify where drivers spend most of their time in the vehicle
Collect data on when they start and stop using the car, how long they use it for and where they go during those times
What does this mean for traditional vehicles?
Geospatial intelligence is a software solution that integrates data from multiple sources to help personnel make better decisions. In the automotive industry, it has been applied to several areas, including navigation and fleet management.
In this article, we’ll explore how geospatial intelligence can improve driver safety and efficiency in traditional vehicles.
How does it all come together?
Here’s how it all comes together:
Data from connected vehicles – This is the raw data collected by autonomous vehicles and other vehicle systems. It offers an on-demand picture of traffic patterns, road conditions and driver behavior.
Data from the cloud – The cloud allows you to store and analyze large amounts of data in real time. In this way, you can quickly identify patterns that indicate a problem with one or more sensors or systems on your vehicle.
Data from the edge – Edge computing uses advanced analytics at the edge of a network (a local area) rather than in a centralized location such as a cloud server center or data hub. This approach enables faster decision making because only relevant information is sent over high-bandwidth networks instead of sending all available information for analysis in another location—a process that can take hours or even days depending on bandwidth capacity limitations
Harnessing the power of geospatial intelligence will help you create better experiences for every aspect of your customer journey.
Geospatial intelligence is a powerful tool that can help you create a more personalized and engaging experience for your customers.
Heliware’s HeliAI uses location data to give you insights into how people are moving around the world, what they are doing at any given time and whether there are opportunities to engage with them at specific locations. Automotive service providers or manufacturers can use this information to understand customer behavior and improve the experiences your products offer.
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