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
TrustNet Framework: A Solution for AI Trust Challenges
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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.
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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
Big results in government AI don’t always start with big programs. In this new white paper from Iron Mountain and ATARC (Advanced Technology Academic Research Center), public sector leaders share how some of the most effective AI efforts are starting small—focused, manageable use cases that solve real problems, build trust in the data, and pave the way for broader adoption. This is how agencies are scaling AI with intention—one win, one workflow, one foundation at a time. Explore the strategy: https://ow.ly/aacz50WBwB2 #StrategicScaling #OneIronMountain
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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
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What AI tools are you loving right now? As part of #AILiteracyWeek, IPR NEXT member Brandon Eigenman, M.A., shares his top three AI tools for PR pros: 1️⃣ Claude by Anthropic 2️⃣ Research Rabbit 3️⃣ NotebookLM by Google ✨ This week marks the first-ever AI Literacy Week! Explore our curated research, tools, and resources: bit.ly/ai-literacy-week 💬 What’s your go-to AI tool as a communicator?
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𝗜𝘀 𝗔𝗜 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗾𝘂𝗮𝗹𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗯𝗲𝘁𝘁𝗲𝗿? 𝗔𝗯𝘀𝗼𝗹𝘂𝘁𝗲𝗹𝘆. AI tools can now help us with the busy work, making research faster, more accessible, and scalable without, losing the human touch. In a world drowning in data, qualitative research uncovers the context and nuance behind the voice of your customers that numbers alone can’t capture. See how AI is making qual smarter and more human in our recent blog: https://hubs.la/Q03JC4BH0
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AI has moved from experimentation to expectation. Leaders are under pressure to deliver, yet most initiatives never make it past proof of concept. The failure rate is staggering — more than 90% of AI projects stall before they create real impact. Our upcoming webinar will unpack why this happens and share the practical steps organizations can take to move AI into production with confidence. 📅 September 24th @ 12pm CST 👉 Register here: https://lnkd.in/gus4Bv5i
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During my last gig I had the opportunity to present Microsoft AI agents - Analyst and Researcher - during a broader discussion to a room of operations colleagues. Take a look at how a marketing officer uses them and consider what use cases may make an impact for you.
Chief Marketing Officer, AI at Work @ Microsoft | Predicting, shaping and innovating for the future of work | Tech optimist
By 2028, businesses are projected to have over 30 million AI agents. I’ve been using two—Analyst and Researcher—and they’ve meaningfully changed how I work. They help me analyze complex data, conduct in-depth research, and surface insights I can act on, all within minutes. The shift toward human + AI agent teams is already underway. Take a look at how I’m using them in my latest video:
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AI implementation doesn't need to transform your entire organization overnight. Just ask computer scientist and Arklex.AI founder Zhou Yu, who shares in The Lever why starting with just one specific problem creates the momentum needed for successful AI adoption. "Success is far more likely when leaders identify one discrete use case where an AI agent can deliver measurable results,” says Yu. “This 'wedge' creates momentum, builds internal trust, and uncovers practical lessons." Subscribe to #TheLever for more expert insights like Yu’s, on how to take the AI boom by storm. https://lnkd.in/e5cCfx4j
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Co-Founder&CEO of Arklex.AI (Alchemist '23), CS Professor at Columbia University, AI Expert, Forbes 30 under 30
Adopting AI agents in an enterprise is not straightforward. It has to combine technology and business processes to make it work.
AI implementation doesn't need to transform your entire organization overnight. Just ask computer scientist and Arklex.AI founder Zhou Yu, who shares in The Lever why starting with just one specific problem creates the momentum needed for successful AI adoption. "Success is far more likely when leaders identify one discrete use case where an AI agent can deliver measurable results,” says Yu. “This 'wedge' creates momentum, builds internal trust, and uncovers practical lessons." Subscribe to #TheLever for more expert insights like Yu’s, on how to take the AI boom by storm. https://lnkd.in/e5cCfx4j
