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Ai related articles and content. Business Insider India is providing latest articles related to tech, business, politics, science, health, lifestyle and many more

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A recent study from the Ludwig Maximilian University of Munich has shed light on a growing concern in the world of journalism: the comprehensibility of AI-generated news articles. Despite advancements in artificial intelligence, the study found that readers still prefer traditionally crafted news pieces.<br /><br />The study surveyed over 3,000 UK-based online news readers, each evaluating one of 24 news articles — half written by humans and half produced by automation. The findings? Despite editorial oversight from journalists, AI-generated articles fell short on comprehensibility compared to their human-authored counterparts. Lead author Sina Thäsler-Kordonouri noted that readers found automated articles “significantly less comprehensible” overall.<br /><br />One key complaint revolved around language choice in AI articles, with readers pointing out an excess of unusual or overly complex words. Another significant sticking point was how AI-handled numbers and data. For many readers, this treatment was confusing and disrupted the flow of the article, leaving them less satisfied with the automated content.<br />  <div type="Article" hostid="261" msid="114568958" title="ChatGPT parent OpenAI is reportedly planning to launch a new AI model soon but not everyone will get it" mstype="2" mssubtype="0"></div>Interestingly, readers did find parity between the two types of articles in terms of narrative flow and structure. However, the challenging word choice and awkward handling of data remained a stumbling block for AI-produced articles.<br /><br />Professor Neil Thurman, who headed the project, emphasised that refining the automated content process could help bridge the readability gap. This includes not only simplifying language but also finding ways to make data-driven content more intuitively understood by readers.<br /><br />This research highlights the nuanced role of human editors in AI content creation. As newsrooms consider AI’s potential, balancing efficiency with clarity remains key. “Our results indicate the importance not only of maintaining human involvement in the automated production of data-driven news content but of refining it,” said Thäsler-Kordonouri.<br /><br />While automation is here to stay, this study makes one thing clear: a human touch still plays a critical role in making news accessible and engaging.<br />  <div type="Article" hostid="261" msid="114424676" title="Meta AI will be able to remember your WhatsApp chat with a new feature, know all about it" mstype="2" mssubtype="0"></div><br />

Can AI really take over journalism? Study shows why readers still prefer human-written news articles over AI-crafted pieces

The recent PayTM saga exposed how financial institutions are finding it increasingly difficult to maintain sufficient security measures to ensure user authenticity and identity. Now, many fintech platforms are turning to artificial intelligence (AI) to address these challenges. A leading voice in this conversation is Rahul Ayyappan, the Co-Founder and Chief Technology Officer (CTO) of Finacus Solutions Pvt. Ltd.<br /><br />With over a decade of experience in shaping digital solutions for over 200 banks and financial institutions, Rahul sheds light on how AI can play a transformative role in addressing the issue of deepfakes and even strengthening eKYC (electronic Know Your Customer) systems.<br /><h2>Facial recognition technology<br /></h2>AI algorithms can analyse facial features in-depth, detecting subtle inconsistencies that are often overlooked by human eyes. By examining dermal texture, facial feature depth, and lighting uniformity, AI can identify discrepancies indicative of deepfakes. Furthermore, AI can analyse the temporal consistency of facial movements in videos, identifying irregularities that may signal tampering.<br /><h2>Behavioural analysis<br /></h2>AI's ability to analyse micro-expressions, those brief, involuntary facial expressions that reveal genuine emotions, is crucial in detecting deepfakes. These expressions are difficult to replicate in fabricated media, making them a reliable indicator of authenticity. Additionally, AI can evaluate gait and gesture analysis, identifying inconsistencies that may suggest deepfake manipulations.<br /><h2>Consistency checks<br /></h2>AI can cross-reference data from various sources, such as document scans and live video KYC sessions, to identify inconsistencies in age, gender, or other demographic information. Geospatial validation can also be used to verify if the location of the eKYC session aligns with the user's stated address.<br /><h2>Machine learning models<br /></h2>AI models can be trained on vast datasets of real and fake images and videos to learn to identify patterns and anomalies associated with deepfakes. These models can continuously adapt and improve their accuracy as new deepfake techniques emerge.<br /><h2>Integration with ancillary technologies<br /></h2>Combining AI with other technologies, such as blockchain and thermal imaging, can further enhance deepfake detection capabilities. Blockchain provides an immutable ledger of verified data, while thermal imaging can detect heat patterns on the face that are difficult to replicate in synthetic media.<br /><br />By leveraging these advanced AI techniques, eKYC systems can significantly improve their ability to detect deepfakes and protect against identity theft and other fraudulent activities. As deepfake technology continues to evolve, AI will play a crucial role in ensuring the integrity and security of digital identity verification processes.<br />  <div type="Article" hostid="261" msid="99803720" title="Aadhaar authentication rose to 2.31 billion in March 2023: IT Ministry data" mstype="2" mssubtype="0"></div><br />

Fintech expert shares 5 ways AI can help detect deepfakes in eKYC systems

In an ever-evolving world driven by technology, artificial intelligence (AI) has been making waves in nearly every sector. Workers are constantly threatened by the prospect of “AI taking their jobs”. But what if we told you that the tool could just as easily dominate our classrooms as well?<br /><br />William Hersh, M.D., a seasoned professor at Oregon Health &amp; Science University (OHSU), was particularly intrigued by AI's growing influence in his field. As a medical informatics educator, he sought to explore just how well generative AI could compete with his human students. The results? Surprising, to say the least.<br /><h2>An experiment in education</h2>Hersh’s curiosity led him to conduct an experiment where he pitted six large-language AI models — including ChatGPT — against students enrolled in his introductory course on biomedical and health informatics. The goal was to see how AI would perform when tasked with the same assessments as his students. The <a href="https://www.nature.com/articles/s41746-024-01251-0">findings</a>, published in <em>npj Digital Medicine</em>, showed that AI models outperformed up to 75% of the class.<br /><br />"This does raise concern about cheating, but there is a larger issue here," Hersh commented. "How do we know that our students are actually learning and mastering the knowledge and skills they need for their future professional work?"<br /><h2>The role of AI in knowledge-based learning</h2>The study analysed the performance of 139 students who took the course in 2023, with AI models tackling multiple-choice questions and short-answer prompts. The AI models scored impressively, landing in the top 50th to 75th percentile. According to Hersh, these results raise essential questions about the future of student assessment, particularly in knowledge-heavy subjects like biomedical informatics.<br /><br />Although the AI excelled in this particular course, Hersh was quick to point out that generative models might not fare as well in more hands-on or participatory academic settings, where critical thinking and complex skills development are vital. For Hersh, this balance between mastering knowledge and applying it in real-world scenarios is at the heart of medical education.<br />  <div type="Article" hostid="261" msid="113364057" title="AI is entering classrooms in Italy, new learning tools to be tested in 15 classrooms across four regions" mstype="2" mssubtype="0"></div><br /><h2>A new era for medical students</h2>The AI's performance has stirred up an age-old debate in the academic community: how much information should students be expected to memorise versus being able to access through technological tools? Hersh recalls a time in medical school when one of his attending physicians insisted that every doctor should carry all medical knowledge "in their head." Even back then, Hersh saw the limitations of such an approach.<br /><br />"The knowledge base of medicine has long surpassed the capacity of the human brain to memorise it all," he noted, emphasising the importance of making smart use of available technology.<br /><h2>Striking the right balance<br /></h2>Despite the impressive capabilities of AI, Hersh remains confident that medicine — and most academic disciplines — will always require a "human touch." Critical decision-making, nuanced judgement calls, and compassionate patient care cannot be fully replaced by machines.<br /><br />"There are a lot of things that healthcare professionals do that are pretty straightforward, but there are those instances where it gets more complicated and you have to make judgement calls," Hersh said. "That's when it helps to have that broader perspective."<br /><br />As fall classes approach, Hersh isn’t worried about AI encouraging cheating. His solution? Continuously updating the curriculum and ensuring that assessments go beyond what AI can quickly retrieve. "In any scientific field, there are new advancements all the time," he remarked. "Large-language models aren’t necessarily up to date on all of it."<br /><br />Hersh’s experiment underscores the broader implications of AI in education. While AI has the potential to assist in areas such as medical knowledge recall, it cannot — and should not — replace the critical thinking, emotional intelligence, and human interaction that healthcare professionals need to succeed.<br /><br />As AI continues to evolve, so too will educational approaches, aiming to equip students with both a solid foundation of knowledge and the tools to navigate an increasingly AI-enhanced world.<br />  <div type="Article" hostid="261" msid="113315283" title="Open AI’s latest ‘Strawberry’ will actually think before it acts!" mstype="2" mssubtype="0"></div><br />

A medical professor pitted AI models against his students to see who would score better on his tests. The results were shocking!

If we had one bone to pick with artificial intelligence (AI), it has to be the fact that the models sometimes sound like that friend of yours with verbal diarrhoea. They tend to trip over themselves to say <em>something</em>, nevermind processing things or fact checking. But what if we had access to AI that took more time to ‘think’ before responding to us?<br /><br />In a much-anticipated release, OpenAI will launch its latest artificial intelligence model, <em>o1, </em>in 2 weeks, marking the debut of a new class of reasoning AI models. After months of speculation and whispers about "Strawberry," the official release of <em>o1</em> represents OpenAI’s bold step toward crafting models capable of reasoning through complex problems faster than humans. Alongside <em>o1</em>, the company is also introducing <em>o1-mini</em>, a lighter, more cost-effective version of the new model, ideal for tasks like coding and problem-solving.<br /><h3 style="line-height:1.38;margin-top:14pt;margin-bottom:4pt;">Why the excitement around o1?</h3>OpenAI has positioned <em>o1</em> as more than just an upgrade — it’s a leap forward. The model excels in solving intricate, multi step problems, such as math and coding challenges, by mimicking human-like reasoning and explaining its thought process along the way. This shift toward reasoning-based AI marks a significant evolution in how these models are trained and used.<br /><br /><em>o1</em> promises improved accuracy, with a dramatic reduction in hallucinations — when AI models generate false or misleading information — compared to previous models. Though not perfect, OpenAI’s Research Lead, Jerry Tworek, confirms that this new model hallucinates less frequently than its predecessors.<br />    <div type="Article" hostid="261" msid="113303589" title="OpenAI takes another step closer to getting AI to think like humans with new &amp;#39;o1&amp;#39; model" mstype="2" mssubtype="0"></div><h2>How is o1 different from previous models?<br /></h2>The training of <em>o1</em> differs significantly from its predecessors, like GPT-4o. While earlier models were trained to mimic patterns, <em>o1</em> uses reinforcement learning, a technique where the system learns through rewards and penalties, refining its problem-solving ability with each iteration. Additionally, <em>o1</em> employs a "chain of thought" process, mimicking human cognition by breaking down problems into logical, sequential steps.<br /><br />Bob McGrew, OpenAI’s Chief Research Officer, highlights that <em>o1</em> outshines its predecessors in math-related tasks. In tests against the International Mathematics Olympiad, <em>GPT-4o</em> could only solve 13% of problems correctly, while <em>o1</em> successfully tackled an impressive 83%. This makes it a powerful tool for scientific research, especially in fields like physics, chemistry, and engineering, where rigorous reasoning and complex problem-solving are essential.<br />    <div type="Article" hostid="261" msid="113079845" title="The internet has more AI-generated content today than human-created and this could mean trouble" mstype="2" mssubtype="0"></div><h2>What does this mean for users?<br /></h2>Starting today, ChatGPT Plus and Team users gain immediate access to <em>o1-preview</em> and <em>o1-mini</em>. Enterprise and Edu users will have access next week, and OpenAI has plans to make <em>o1-mini</em> available to free-tier ChatGPT users, though no release date has been set. However, for developers eager to integrate this advanced reasoning model into their applications, the cost will be steep—<em>o1-preview</em> costs $15 per million input tokens and $60 per million output tokens, making it more than triple the price of GPT-4o.<br /><h3 style="line-height:1.38;margin-top:14pt;margin-bottom:4pt;">The future of AI reasoning: challenges and opportunities</h3>While <em>o1</em>’s reasoning capabilities are a huge leap forward, there are still hurdles to overcome. The model is more expensive and slower to use than its predecessors, and it is not yet optimised for web browsing or processing files and images. Despite these limitations, OpenAI believes <em>o1</em> represents a foundational step toward AI models that can perform complex tasks autonomously, inching closer to human-like intelligence.<br /><br />This release also raises hopes for future advancements in fields beyond tech. With its ability to tackle advanced benchmark tests in physics and chemistry, <em>o1</em> could pave the way for breakthroughs in medicine, engineering, and beyond. As McGrew aptly put it, “Reasoning is the critical breakthrough that could unlock unprecedented capabilities in AI.”<br />    <div type="Article" hostid="261" msid="112705229" title="OpenAI is finally buying rights from major publishing companies! But, what’s the future of journalism?" mstype="2" mssubtype="0"></div><h2>A step toward autonomous agents?<br /></h2>For OpenAI, the development of <em>o1</em> is more than just improving existing AI models — it’s about moving toward a future where AI can act as autonomous agents. These agents would be capable of making decisions, taking actions on behalf of users, and solving real-world problems. This vision of AI goes beyond simple pattern recognition and into the realm of reasoning and decision-making, which could revolutionise industries from healthcare to engineering.<br /><br />However, the journey toward autonomous decision-making agents is still in its early stages. <em>o1</em> may not yet be fast or affordable enough for widespread use, but it represents a significant milestone in AI research. McGrew noted that solving complex reasoning tasks is essential to progress toward human-like intelligence in AI systems.<br /><br />The release of <em>o1</em> marks a transformative moment in AI development. As OpenAI pushes the boundaries of what reasoning models can achieve, the implications for industries relying on complex problem-solving are immense. From coding competitions to scientific research, the capabilities of <em>o1</em> demonstrate a powerful shift toward AI that thinks — almost like a human. As OpenAI continues to refine and expand its models, we can expect <em>o1</em> and its successors to play an ever-growing role in shaping the future of technology, science, and industry.<br /><br />As we look toward a future where AI reasoning models become more commonplace, the release of <em>o1</em> sets the stage for exciting advancements in both practical applications and AI research. The era of reasoning AI is upon us — and it’s only just beginning.<br />    <div type="Article" hostid="261" msid="113088658" title="OpenAI to Meta: AI companies that were accused of copyright infringement" mstype="2" mssubtype="0"></div><br />

Open AI’s latest ‘Strawberry’ will actually think before it acts!

The advent of AI in the classroom has been nothing short of revolutionary. Even as we struggle to grasp the full extent of what this tool can help us achieve in the educational world, AI-powered educational games, adaptive learning platforms, student chatbots and automated grading systems have already been making waves in the sector. Despite all the scepticism around flouting tradition, educators see the potential of AI and over 60% of them use AI in their classrooms, a Forbes Advisor’s survey <a href="https://www.forbes.com/advisor/education/it-and-tech/artificial-intelligence-in-school/">said</a>.<br /><br />But giving students access to AI can be likened to Jack getting his hands on the magic beans. Once they climb the metaphorical beanstalk, the possibilities are endless. There’s treasure there, but also the Giant.<br /><h2>The magic beans</h2>AI’s ability to personalise learning experiences is undoubtedly magical. It’s amazing how it can analyse a student’s strengths and weaknesses, tailor lessons and practice questions to meet individual needs. This means students can learn at their own pace, focusing on areas where they need the most improvement.<br /><br />There’s a number of AI-powered apps and tools that can “assist” with their schoolwork. Whether it’s a complex algebra equation or a challenging essay topic, AI can provide answers and explanations in seconds. For students who struggle with certain subjects, these can provide the extra support they need to keep up with their peers. Further, students can use AI to generate ideas, conduct research, and explore new topics, making it a versatile tool in the educational toolkit.<br />  <div type="Article" hostid="261" msid="112525738" title="This high school is replacing teachers with ChatGPT and AI tools to personalize learning for some students" mstype="2" mssubtype="0"></div><h2>Greedy Jack</h2>While most AI-tools are well-intentioned, in the wrong hands, they could be disastrous.<br /><br />Students are increasingly turning to AI-powered apps and tools to get their schoolwork done. Apps like Gauth, which help solve maths problems by simply scanning them, have become a hit among high school and college students. These tools offer immediate, step-by-step solutions, making homework less daunting and more manageable. <br /><br />However, educators are also dealing with the getting-AI-to-do-your-homework-for-you epidemic. The prospect of simply outsourcing your work to AI is something even adults struggle with, so how are children to resist?<br /><br />Tim Urban’s instant gratification monkey sort of takes over for most students, who would rather take the easy way out and end up heavily relying on AI to complete their assignments. The geniuses who manage to get away with it may think they have won. But this little victory comes at a hidden cost.<br /><h2>Fee-fi-fo-fum<br /></h2><em>That’s the sound the consequences of your actions make when they come.<br /></em><br />A recent <a href="https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2024.1415782/full">study</a> conducted in Sweden found that while AI chatbots can be of immense help to adolescents struggling with executive functioning, it can also hinder or delay development in students. Others have also echoed the sentiment, worrying that it can lead to the students’ potential erosion of critical thinking and problem-solving skills. <br /><br />Additionally, AI tools, while impressive, are not infallible. They can make mistakes, especially with more complex tasks, and students who use these tools without understanding the underlying concepts may find themselves unprepared for exams or higher-level courses. This overreliance on AI could result in a superficial understanding of the subject matter, which could hinder academic performance in the long run.<br /><br />There’s also the issue of academic integrity. While AI can be a helpful study aid, using it to complete entire assignments without contributing personal effort crosses into the darkly tempting territory of cheating. The ease with which students can produce AI-generated work has raised concerns among educators about maintaining fairness and honesty in academic assessments.<br />  <div type="Article" hostid="261" msid="111053674" title="AI app &amp;#39;PadhAI&amp;#39; solves UPSC 2024 prelim exam paper in seven minutes, scores 170 out of 200!" mstype="2" mssubtype="0"></div><h2>The moral of this story is balance<br /></h2>To harness the benefits of AI while evading its pitfalls, a balanced approach is essential. Educators should incorporate AI into the classroom in a way that complements traditional learning methods rather than replacing them. This might involve using AI to provide personalised practice questions or to offer additional support for struggling students, while still emphasising the importance of critical thinking and independent problem-solving.<br /><br />Schools also need to educate students on the ethical use of AI, helping them understand when it’s appropriate to use these tools and when they need to rely on their own knowledge and skills. Teaching digital literacy and promoting an "Honor Code" for AI use can help students navigate this new technological landscape responsibly.<br /><br />As AI continues to evolve, it’s up to educators, parents, and students to strike the right balance — leveraging AI’s strengths while ensuring that it enhances, rather than diminishes, the educational journey.<br />

School students are loving AI tools like ChatGPT, but there are some obvious pitfalls to this!

In recent months, several major publishing brands, including Condé Nast, The Atlantic, and News Corp, have entered partnerships with OpenAI, a leading force in artificial intelligence, to license their content for use in AI products like ChatGPT and SearchGPT. <br /><br />These partnerships are aimed at meeting the growing demand for high-quality, reliable content in the digital age while balancing the needs of both AI companies and traditional publishers, stakeholders have said.<br /><br />As is the case with many CEOs, Sam Altman has had a penchant for embroiling himself in controversies since the inception of OpenAI. And a lot of the backlash he receives comes from his rather indiscriminate use of content without waiting for permission from the creators.<br />  <div type="Article" hostid="261" msid="112312441" title="‘Too smart to steal’: AI, made to help, faces backlash for data scraping" mstype="2" mssubtype="0"></div>Remember when the entrepreneur got into trouble after Scarlett Johanssen accused him of using her voice for OpenAI’s Sky? That’s not it. OpenAI has also been sued by the New York Times and eight other papers on the grounds of copyright infringement after their content was allegedly used to train the AI model.<br /><br />However, the OpenAI CEO seems to be learning from his mistakes and is now pursuing a rather legal route to obtaining content for training his models. Multiple popular and reputable brands have signed deals with OpenAI. And one of the primary reasons publishers are partnering with OpenAI is the shift in how audiences discover information.<br /><h2>You scratch my back, I scratch yours<br /></h2>With generative AI becoming increasingly integrated into search engines and digital assistants, media companies are increasingly seeing opportunities to expand their reach through these platforms. For instance, Condé Nast CEO Roger Lynch emphasised the importance of “meeting audiences where they are” and embracing new technologies that can enhance the visibility of the company’s content. <br /><br />By partnering with OpenAI, Condé Nast and others hope to regain some of the revenue lost due to changes in traditional search and social media algorithms, which have negatively impacted publishers’ traffic and ad revenues.<br /><br />Another key benefit for publishers is ensuring proper attribution and compensation for their intellectual property. The licensing deals with OpenAI and other AI firms attempt to address these issues, ensuring that publishers are compensated for their contributions to AI training models. For example, some deals, like the one News Corp signed with OpenAI, are valued in the hundreds of millions of dollars, providing substantial revenue streams to news organisations that might otherwise struggle to monetize their digital content.<br /><h2>The grass may not be greener on the other side<br /></h2>Publications are likely making this switch and partnering with OpenAI to “keep up with changing times”. But these deals are not without their challenges. <br /><br />Some critics argue that by cooperating with AI companies, publishers are effectively “settling without litigation” and sacrificing their hard-earned credibility for short-term financial gain. There is a fear that these deals may lead to AI-generated summaries of news stories overshadowing original reporting, which could undermine the value of journalism in the long run. <br /><br />Unionised editorial employees at Condé Nast, for instance, have expressed concerns about how AI might impact their work and whether it could lead to a degradation of journalistic standards.<br />  <div type="Article" hostid="261" msid="112274629" title="Sam Altman and generative AI can&amp;#39;t be trusted, says leading expert" mstype="2" mssubtype="0"></div>Additionally, there are ethical concerns about AI’s role in the spread of misinformation. If generative AI systems fail to accurately reflect the nuance and context of human-written journalism, they could inadvertently amplify false or misleading narratives. This is a significant worry for media companies that have spent years building trust with their audiences.<br /><br />Ultimately, while partnerships between publishers and AI companies like OpenAI offer potential benefits — such as increased reach, better compensation, and adaptation to new content discovery methods — there are notable risks involved. The media industry is at a crossroads, trying to navigate the delicate balance between leveraging AI for growth and protecting the integrity of quality journalism. As the landscape evolves, it remains to be seen whether these partnerships will help or hinder the future of publishing.<br />  <div type="Article" hostid="261" msid="112678305" title="Falling in love with a user to telling them to eat rocks to stay fit, times when AI went wrong" mstype="2" mssubtype="0"></div><br />

OpenAI is finally buying rights from major publishing companies! But, what’s the future of journalism?

In a recent op-ed published in the TIME, OpenAI CEO Sam Altman and Thrive Global’s Arianna Huffington pose as champions of affordable healthcare. Soft-launching the new company Thrive AI Health through the article, the duo speak of using artificial intelligence to help people take charge of their well-being and make expert health advice accessible to all. Most notably, they suggest that AI could help improve “both our health spans and our lifespans”.<br /><br />Thrive AI Health will primarily focus on promoting healthy behaviour, like the five foundational behaviours Sam himself swears by: getting enough sleep, eating well, exercising, spending time in nature and meditating. Furthermore, this AI health coach wouldn't just tell you to eat better or exercise more, but promises to take your preferences, your schedule and your health data into account. OpenAI’s Whoop coach already exists while Google and Apple are also planning to roll out similar tools soon.<br /><br /><strong>Related: <a href="https://www.businessinsider.in/tech/news/ai-can-identify-clinically-anxious-youth-based-on-brain-structure-study/articleshow/108613080.cms">AI can identify clinically anxious youth based on brain structure: Study</a><br /></strong><br />According to the TIME article, the AI will be trained on the “best peer-reviewed science”. And here’s where it starts to get tricky. Both peer-reviewed and ‘under-review’ scientific literature consists of inaccurate and confusing interpretations when it comes to human health. Being an ever-evolving field of academia, the studies coming out in this domain have always been subjected to cherry-picking of data and misinterpreting the findings. <br /><br />So, will AI be able to navigate this challenge, especially considering the recent episodes of AI hallucinations even among the most advanced large language models? AI definitely holds promise to make affordable healthcare a reality at warp speed, but how could we make it safe if the training data itself is ambiguous?<br /><br /><h2>Dealing with AI hallucination<br /></h2>It’ll be a hot while before we purge our minds of the memory of a Google AI search result stating that it was perfectly normal for 5-10 cockroaches to crawl into your penis hole and that this was how they got the name “cock” roach. So forgive us if we don’t jump with joy at the thought of relying on technology trained using LLMs for any sort of health advice. <br /><div type="twitter" handle="JeremiahDJohns" handlename="JeremiahDJohns" favoritecount="0" retweetcount="0" id="1794543007129387208"></div>We asked Dr Marcus Ranney — Longevity Physician, Founder of Human Edge and formerly General Manager with Thrive Global — what he thought about the limitations of using LLM-trained AI for healthcare.<br /><br /><a href="https://ever.humanedge.co/">Human Edge</a>, which provides wellness and fitness services, also employs generative AI tools. And Dr Ranney acknowledged that they had to deal with their share of AI hallucinations and inaccuracies. To tackle this little problem, Human Edge was taking the “man-in-the-middle” approach during training. Here, an actual healthcare professional would intercept the conversation between the AI and the user, and select the right answer from the options suggested by the tool. <br /><br />The other problem is that Thrive AI Health’s responses will obviously depend on the user’s input and what medical data they choose to share about themselves. While Altman and Huffington are thankfully playing it safe and only intend for this app to start off with generalised (and mostly harmless) tips, we do wonder if it could land some people in a soup simply because they forgot to share something or thought it inconsequential.<br /><br /><h2>Impact on doctors</h2>A common misconception that many harbour is that such healthcare tools could replace healthcare providers. We can argue this point by saying that AI is only supposed to support the healthcare system and not uproot it. But in a country like India, where we tend to rely on the pharmacist’s advice instead of a doctor’s appointment to save time and money, over-reliance on AI healthcare tools could be a real problem. <br /><br />However, Dr Ranney stresses on how this could serve as the first tier of health advice. It would certainly also help reduce the burden of overworked doctors who are also busy battling the surge of misinformation on the internet — cue the tiff between Indian actress Samantha Ruth Prabhu and The Liver Doc.<br /><br /><strong>Read: </strong><a href="https://www.businessinsider.in/science/health/news/samantha-ruth-prabhu-faces-heavy-backlash-after-recommending-hydrogen-peroxide-inhalation-to-cure-viral-fever/articleshow/111515126.cms"><strong>Samantha Ruth Prabhu faces heavy backlash after recommending hydrogen peroxide inhalation to cure viral fever</strong></a><br /><br />When someone as influential as the actress shares the “benefits” of inhaling hydrogen peroxide with her millions of followers, it is bound to make waves, no matter how dubious the source of the information may be. Talking about the barrage of confounding medical advice bandied on social media and its many dangers, the Human Edge CEO insists that a reliable AI health coach could actually be a much better source of information.<br /><br /><h2>Could an AI health coach lead to data breaching issues?</h2>Depending on how much you engage with it, this health coach will likely know every tiny detail about you — from how many minutes you spend on your porcelain throne every morning to how many times you stayed up past your bedtime that week. And let’s face it, not all of us are completely okay with this sacred information being made available to others. <br /><br />Altman and Huffington do seem to be particular about ensuring “robust privacy and security safeguards”, but the technology will also rely on potentially several billion data points — data from users. So the chances of a data breach, no matter how miniscule, do exist. As Dr Ranney said, we’re going to need a lot of regulation to prevent something like this.<br /><br />That being said, if Thrive’s AI health coach delivers on its promises, it’s going to be a huge deal that revolutionises healthcare worldwide. While Dr Ranney did share his viewpoints from an industry perspective, he says he’s very excited about Thrive AI Health — and frankly, so are we (even if it didn't seem like it).<br />

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