Akhilesh Ayer on inclusive, sustainable publishing ecosystem

At Dr.Evidence, we don’t just use AI—we build it for life sciences. max-ai, our growing library of 25+ AI models is trained exclusively on a high-quality, domain-specific corpus of data—not the open internet. That means higher accuracy, less noise, and insights that are actually relevant to your regulatory and commercial strategies. #AIinPharma #LifeSciencesAI #RegulatoryIntelligence #DrEvidence https://hubs.la/Q03DCbvh0

AI is reshaping business, government and everyday life at incredible speed. But with rapid adoption comes a critical question: Can we trust AI? 🤖 An international research team—including Poole College of Management professor Roger C. Mayer—has introduced the TrustNet Framework, an approach designed to address the complex challenges of AI trust, from misinformation to bias to accountability. 💡 Discover how this framework helps leaders, organizations, and policymakers evaluate and strengthen trust in AI systems. ➡️ https://ow.ly/ZxRW50WWW4q

Explore the intriguing world of synthetic data in AI with our latest blog post. We delve deep into the highs and lows of this emerging field further stirring buzz in the tech world. What's the catch though? Could biases potentially seep into the ostensibly neutral synthetic data? Let's find out with our three-point interrogation. Click the link to read the full article. #ArtificialIntelligence #SyntheticData #TechInnovation Link to the article: https://lnkd.in/e4fSj4PT

The Research Shortcut You Need 50-page PDFs. Endless scrolling. Tangled jargon. Research doesn’t have to feel like a time sink. Here’s my go-to: Perplexity AI ✅ Gives you cited, summarized answers ✅ Asks clarifying questions like a real researcher ✅ Cuts your research time in half The point isn’t skipping research. It’s skipping the rabbit holes.

💫 Introducing the first season of #TechUnscripted! AI is reshaping every part of our organizations—from policy and processes to education and infrastructure. In our recent roundtable, VP of Information Technology at Delaware State University Darrell McMillon and the Town of Cary CIO Nicole Coughlin, shared how they’re balancing tactical actions with experimentation and training to build a unified understanding of AI. How is your organization managing the #AI wave? 📹 Watch the full episode here: http://cs.co/9007AyyPX

The artificial intelligence regulation landscape continues to evolve, with states moving quickly to fill gaps left as the federal government takes steps to reduce regulation and accelerate AI innovation. 💡 Read more from Cooley's Joseph Lockinger, Anna Matsuo, Steven Zuckerman, Selin Akkan, Christopher Stack, Ann Bevitt, Gerard O'Shea, MaryBeth (Wysocki) Shreiner and Daniel Bernard here: https://bit.ly/3JPNFy9 For more AI resources and to see the team's full capabilities in this evolving space, visit our #CooleyAI page here: https://bit.ly/CooleyAI

Are you currently exploring how AI can deliver public services in a quicker, innovative and more efficient way? This white paper is worth the read! #govtech#slednation#statecdo

Over the past year, I’ve been deeply engaged in exploring how narratives of superintelligence shape the way we design, govern, and imagine artificial intelligence. Too often, debates in AI focus narrowly on speed, scale, and predictive power. But what about the human dimensions of intelligence — relational, cultural, and ethical forms of knowing — that machines cannot replicate? My latest research argues for reframing “intelligence” in AI not as a race toward machine superiority, but as a pluralistic negotiation that values diversity, moral reasoning, and cultural context. Excited to share more soon — watch this space. #AIethics #AIgovernance #Superintelligence #TechnologyAndSociety

Data Is Risky Business: The Risk of AI Atrophy: An article in the latest issue of The Data Administration Newsletter says that, right now, organizations are experimenting with and adopting various forms of AI, GenAI and agentic AI. “We are seeing the impact of this...as company leadership seeks the short-term dopamine hit of improved profit in a quarter or fiscal year. And it may be that we are laying the foundations for a problematic future.” Learn more at Hey! What's New? at thinktwenty20.com.

“The MIT Media Lab’s finding that 95% of generative AI investments have produced no measurable returns highlights a familiar pitfall: Leaders are repeating the mistakes of the digital transformation era by funding scattered pilots that don’t connect to real business value.”