AI should empower, not replace human judgment: Dr. Kusal Weerasinghe

We’re excited to see important conversations about GenAI and research integrity gaining momentum. It isn’t just about whether or not we use AI tools in academia and research - it’s about how we use them. The Concordat to Support Research Integrity offers a valuable lens through which to critically evaluate AI use in practice. Key questions we should all be asking: 🔹 Am I being transparent? 🔹 Am I being accountable? 🔹 Am I being honest? 🔹 Am I using this responsibly and with integrity? For anyone navigating AI in their research or professional practice, we encourage you to explore the thoughtful guidance we’ve developed at Bath Spa University 👉 https://lnkd.in/e2NsjzDz Ultimately, integrity lies not in the technology, but in our choices as researchers, educators, and innovators. That’s something we have the power to control, even when the tools are evolving rapidly. #ResearchIntegrity #ResponsibleAI #AIinResearch #GenAI #EthicalResearch #Innovation #FutureOfResearch #DigitalTransformation

Earlier this year, Cardamom VP of Business Development Bridget Bell attended and contributed to the Stanford Institute for Human-Centered Artificial Intelligence (HAI) #RAISEHealth Symposium, exploring what’s real, what’s next, and what’s needed to ensure AI advances responsibly and benefits all. Covering agentic AI, cultural and workforce readiness for AI adoption, and strengthening data quality and sharing practices, it was a meaningful discussion on the practical challenges and real-world opportunities for AI in healthcare. You can read more about the discussion in this report: https://hubs.la/Q03K9T7S0 #AI #HealthIT #Data

“Your scientists were so preoccupied with whether or not they could, they didn’t stop to think if they should.” Dr Ian Malcolm, Jurassic Park (1993). I keep coming back to this line as I read more about AI. Right now, there’s a lot happening in the conversation about AI “safety.” These 'blogettes' are my way of sharing what I find useful as someone still learning the landscape. One story that really struck me recently is around the use of AI as a therapist. The tragic case of a teenager’s suicide after extended chatbot conversations shows how dangerous this can be if left unchecked. The NHS has also warned against replacing professional help with chatbots. At the same time, we’re seeing global leaders, academics, and technologists raise alarms about the pace of development. Earlier this year, hundreds of experts signed an open letter calling on major AI companies to pause the training of advanced systems until safety protocols catch up. And if you want a glimpse of where things could head if current trends continue, the AI 2027 site (https://ai-2027.com/) offers a sobering, speculative look at a near-future world shaped by unchecked AI. Put together, these stories highlight something important: it’s not just about whether AI can do something, it’s about whether it should. And the speed of development means these questions matter now, not later. It’s a bit scary, but worth engaging with. This short video sums up the concern well (https://lnkd.in/ehcDvQns) Next time, I’ll return to some more practical and positive areas, but know that those are all in the bigger context of where things could go.

Silverchair has published its first annual report on the Future of Peer Review – have you read it yet? I found their insights and discussion on AI and research integrity particularly interesting, and the assertion that these tools should be considered as an enhancement to our ability to scale and not a replacement for human judgment is something that resonates with me strongly. At PA EDitorial we believe that AI works best when it is combined with human judgement and expert knowledge. Applying a human-in-the-loop model lets AI automation do the heavy lifting, and lets people provide the perspective. This approach isn’t just efficient; it’s also ethically necessary. Researcher careers, reputations, and lives depend on the decisions we make. And while AI can assist, it shouldn’t be the final arbiter. Do you agree? If you’d like to explore how PA EDitorial can support you in navigating this pivotal moment in publishing, get in touch - link in the comments.  https://lnkd.in/eJ624gu7 #AcademicPublishing #HumanInTheLoop #AIinPublishing

Why do our biggest wins suddenly feel small? You’ve seen it in life: hit the milestone → quickly raise the bar. Psychologists call this hedonic adaptation (Brickman & Campbell, 1971). We do the same with AI. At first, we say: “If AI could summarise, code, or create images, I’d be impressed.” Then, once it does, we quietly move the goalpost: “That’s not real intelligence.” Marvin Minsky warned about this decades ago; that the definition of “intelligence” shifts the moment machines achieve it. And as Ray Kurzweil reminds us in The Singularity Is Nearer (2024), our expectations often evolve faster than the technology itself. If you’re using AI, it’s worth pausing before minimising what it can already do. Reflect instead on what those new abilities make possible for you, your work, and your impact. Because progress only matters if we stop long enough to see the doors it opens. How are you using today’s AI breakthroughs to unlock new possibilities? My PhD research explores this very tension: how people interpret and trust AI outputs, and how our shifting definitions of “intelligence” shape the way we work with machines. #Innovation#ArtificialIntelligence#MindsetShift#FATE#HCI#Singularityisnearer#Techphilosophy

Silverchair  has published its first annual report on the Future of Peer Review – have you read it yet? We found their insights and discussion on AI and research integrity particularly interesting, and the assertion that these tools should be considered as an enhancement to our ability to scale and not a replacement for human judgment is something that resonates with us strongly. At PA EDitorial we believe that AI works best when it is combined with human judgement and expert knowledge. Applying a human-in-the-loop model lets AI automation do the heavy lifting, and lets people provide the perspective. This approach isn’t just efficient; it’s also ethically necessary. Researcher careers, reputations, and lives depend on the decisions we make. And while AI can assist, it shouldn’t be the final arbiter. Do you agree? If you’d like to explore how PA EDitorial can support you in navigating this pivotal moment in publishing, get in touch - link in the comments.  Access the report here: https://lnkd.in/er-EYS_e #AcademicPublishing #HumanInTheLoop #AIinPublishing

The uncomfortable truth about AI in healthcare: We're scaling bias faster than we're solving it. AI isn’t just transforming healthcare—it’s redefining who benefits and who’s left behind. In my latest article, I introduce the AI Equity Test—three practical questions every public health leader should ask before deploying AI. Because if we don't ask the right questions, we reinforce the wrong systems. The statistics are sobering: • Diagnostic algorithms underperform for Black patients by 15% • Predictive models miss readmission risks for rural populations • Contact tracing tools fail in linguistically diverse communities If ethical AI for healthcare matters to you, give it a read—and let’s keep the conversation going: https://lnkd.in/e2HNxcb9 #HealthReclaimed #Sancian #AIEquity #PublicHealthAI #EthicalAI #ResponsibleInnovation

There is an ongoing global race for AI leadership, visible both in the economy and in research and development. In our new article in the Journal of Comparative Policy Analysis, we link these developments to national AI policies. Drawing on data from the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and a comparative analysis of AI policies from 27 countries, we show that there is a clear link between policy formulation and practice. We identify three recurring frames in AI strategies: ➤ Harnessing the potential of AI: AI is presented as a driver of innovation and competitiveness. ➤ Capacity-building: The focus is on skills, infrastructure and institutions. ➤ Governance of AI: The emphasis is on ethical, legal and societal questions. What we find: 💡Countries that emphasize potential and capacity-building in their policies are usually those where AI is thriving in the economy through investments, startups and widespread use. 💡 Countries that emphasize governance are often those leading in AI research and development, contributing new knowledge and scientific advances. Grateful to Saskia Fuchs and Mehmet Akif Demircioglu for the collaboration on this article. 📄 Open Access: https://lnkd.in/e-M852YC #AI #Policy #Implementation #Governance #CapacityBuilding #Practice

⚡ The Future of Medicine Won’t Be About Who Knows More Data—It Will Be About Who Uses It Wisely. In today’s world, AI can already: 🔹 Spot disease patterns invisible to the human eye 🔹 Anticipate deterioration before it’s clinically evident 🔹 Sift through oceans of data in seconds But here’s the paradox— The value of a doctor in the age of AI won’t lie in competing with algorithms. It will lie in: ❤️ Empathy and trust ⚖️ Ethical decision-making 🧠 Translating machine insights into patient-centered care As AI grows more capable, being human becomes our greatest competitive advantage. 👉 What do you believe will define the best clinicians of the AI era—technical expertise, or the human touch? #AIinHealthcare #FutureOfMedicine #MedicalInnovation #DigitalHealth #HumanCenteredCare #ICAIM #DoctorsAI #DoctorsAIGlobalSummit2025

White House Unveils Comprehensive AI Action Plan to Guide National Policy 📢 On August 26, 2025, the White House released its Artificial Intelligence -AI- Action Plan, outlining strategic policy objectives to advance AI development and governance in the United States. This plan builds on President Trump's executive directives and aims to foster innovation while addressing ethical, safety, and workforce implications of AI technologies. Key focus areas include promoting AI literacy, ensuring responsible AI deployment, and strengthening public-private partnerships to maintain U.S. leadership in AI. The Action Plan represents a coordinated federal approach to harness AI’s benefits across economic sectors while mitigating risks. 🇺🇸🤖 Source: https://lnkd.in/dUq7SE59 👉👉 Follow Us ✨ 🙏 ➡️ @[Global AI Talks 🌎✨](urn:li:organization:106167525) 📌Country Pages🎯 ➡️ @[US AI Talks 🇺🇸](urn:li:organization:106275991) ➡️ @[UK AI Talks 🇬🇧](urn:li:organization:106173031) ➡️ @[Canada AI Talks 🇨🇦](urn:li:organization:106285289) ➡️ @[India AI Talks 🇮🇳](urn:li:organization:106275663) #AIActionPlan #PolicyInnovation #ResponsibleAI #USLeadership #TechPolicy