Empowering AI

We empower senior business and government leaders seeking to develop, implement, and lead strategic and responsible AI and digital transformation.

[Empowering AI @EmpoweringAI]

https://t.co/MbgzvYr9Bg

[The Responsible AI Forum @TRAIF2026]

🎉 #TRAIF2026 - 𝗮 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝘀𝘁𝗮𝗿𝘁
A glimpse of today's impulse session. A heartfelt thank you to our speakers Anne-Elisabeth Courrier, Mohammed Khalil, Thomas Maak and @chluetge + moderator @AuxaneBoch!
@TU_Muenchen
#IEAI #MSCA #DoctoralNetworks #HorizonEurope

[Institute for Ethics in Artificial Intelligence @IEAITUM]

@TRAIF2026 @amerikahaus @TU_Muenchen Thank you also to David Barnes @EmpoweringAI !

[The Responsible AI Forum @TRAIF2026]

👏 A round of applause for our #TRAIF2026 track chairs!
David Barnes, Auxane Boch, Darren Cook, Catarina Fontes, Julia Li, Lance Lindauer, Nicole Manger, Franziska Poszler, Simay Toplu, Dalia Yousif

@amerikahaus @TU_Muenchen
#IEAI #TUM #MSCA #DoctoralNetworks #HorizonEurope

[The Responsible AI Forum @TRAIF2026]

#TRAIF2026 day 2 in images.
“𝘛𝘩𝘦 𝘤𝘰𝘯𝘷𝘦𝘳𝘴𝘢𝘵𝘪𝘰𝘯 𝘥𝘰𝘦𝘴 𝘯𝘰𝘵 𝘦𝘯𝘥 𝘩𝘦𝘳𝘦-𝘪𝘵 𝘢𝘤𝘤𝘦𝘭𝘦𝘳𝘢𝘵𝘦��.” - Christoph Lütge
@amerikahaus @TU_Muenchen
#TRAIF2026 #IEAI #TUM #MSCA #DoctoralNetworks #HorizonEurope

[The Responsible AI Forum @TRAIF2026]

🔔Are you registered for #TRAIF2026?🔔
Join us from 𝗠𝗮𝘆 𝟭𝟵-𝟮𝟬 @amerikahaus !
👉𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 here: https://t.co/KXcwWmxYXU
⏰Registration deadline 𝗔𝗽𝗿𝗶𝗹 𝟮𝟬

@chluetge @lancelindauer @EmpoweringAI @TU_Muenchen @IEAITUM
#IEAI #MSCA #DoctoralNetworks #HorizonEurope

[The Responsible AI Forum @TRAIF2026]

alignAI at TRAIF

𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜, 𝗟𝗟𝗠𝘀 & 𝗦𝗼𝗰𝗶𝗲𝘁𝗮𝗹 𝗩𝗮𝗹𝘂𝗲 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 track chairs Simay Toplu & Julia Li are doctoral candidates from the EU Horizon project alignAI: https://t.co/kWRwHQP23l

Join us at TRAIF!
👉Register: https://t.co/AhJnngAqJW

[The Responsible AI Forum @TRAIF2026]

MSC and TRAIF
See 𝗔𝗜 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻/𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 track chairs David Barnes and Lance Lindauer at the Munich Security Conference Side Event panel: https://t.co/yi1XzzVZj5

Join us at TRAIF!
👉Register: https://t.co/AhJnngAqJW

@EmpoweringAI @lancelindauer

[Institute for Ethics in Artificial Intelligence @IEAITUM]

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📅 Date: February 13, 2026
🕔 Time: 5:30 PM – 7:00 PM
📍 Location: Amerikahaus, Karolinenplatz 3, 80333 München
❗Register Here: https://t.co/tZyNPVFszO
🔗 Learn more about the event here: https://t.co/P3sHClYA6l

[The Responsible AI Forum @TRAIF2026]

𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗼𝗽𝗲𝗻 𝗳𝗼𝗿 𝗧𝗥𝗔𝗜𝗙 𝟮𝟬𝟮𝟲!

👉𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://t.co/AhJnngAqJW

📅Dates: 𝟭𝟵–𝟮𝟬 𝗠𝗮𝘆 𝟮𝟬𝟮𝟲
📍Location: 𝗔𝗺𝗲𝗿𝗶𝗸𝗮𝗵𝗮𝘂𝘀, 𝗠𝘂𝗻𝗶𝗰𝗵
⏰Get involved! Deadline for submissions: 𝟳 𝗝𝗮𝗻 𝟮𝟬𝟮𝟲

@TU_Muenchen

[The Responsible AI Forum @TRAIF2026]

PSAIS and TRAIF

Find out more about PSAIS: https://t.co/0FpfTPcKVQ, led by Auxane Boch, track chair along with Darren Cook for 𝗔𝗜 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲.

Join us at TRAIF!
👉Register: https://t.co/AhJnngAqJW
@AuxaneBoch

[The Responsible AI Forum @TRAIF2026]

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✨𝗠𝗲𝗲𝘁 𝗼𝘂𝗿 𝗧𝗥𝗔𝗜𝗙 𝟮𝟬𝟮𝟲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗖𝗵𝗮𝗶𝗿𝘀!

💫Join us for an in-depth discussion on 𝗔𝗜 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 led by our distinguished chairs 𝗔𝘂𝘅𝗮𝗻𝗲 𝗕𝗼𝗰𝗵 and 𝗗𝗮𝗿𝗿𝗲𝗻 𝗖𝗼𝗼𝗸.
@TU_Muenchen

[Haider. @haider1]

Fei-Fei Li says the ability to learn and adapt now matters more than degrees

Structured credentials matter less than how quickly an engineer adopts new tools to boost output

"at this point in 2025, i wouldn't hire a software engineer who doesn't embrace AI-collaborative tools"

[Stanford HAI @StanfordHAI]

📣 AI predictions in 2026: @StanfordHAI experts envision 2026 as a year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise. Read more: https://t.co/0eRDUypDCZ

[Institute for Ethics in Artificial Intelligence @IEAITUM]

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📰Read the recap and watch the recording here: https://t.co/phxVB5CihF

#GlobalSecurity #AgenticAI #AIResearch #TechForGood #InclusiveTech #reponsibleAI

[Institute for Ethics in Artificial Intelligence @IEAITUM]

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On the 24th of September 2025, we hosted a panel titled “𝙏𝙝𝙞𝙣𝙠𝙞𝙣𝙜 𝙖𝙗𝙤𝙪𝙩 𝙀𝙩𝙝𝙞𝙘𝙖𝙡 𝙐𝙨𝙚 𝙤𝙛 𝘼𝙄 𝙞𝙣 𝙩𝙝𝙚 𝙈𝙞𝙡𝙞𝙩𝙖𝙧𝙮 – 𝙄𝙢𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙛𝙤𝙧 𝙊𝙧𝙜𝙖𝙣𝙞𝙯𝙖𝙩𝙞𝙤𝙣𝙨 𝙖𝙣𝙙 𝙂𝙡𝙤𝙗𝙖𝙡 𝙎𝙚𝙘𝙪𝙧𝙞𝙩𝙮” at the TUM Think Tank.

[The Responsible AI Forum @TRAIF2026]

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📺 Watch TRAIF 𝗔𝗜 & 𝗛𝘂𝗺𝗮𝗻/𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 track chairs David Barnes and Lance Lindauer speak about ethical use of AI in the military: https://t.co/RtJi3GzCBH

[The Responsible AI Forum @TRAIF2026]

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✨ 𝗠𝗲𝗲𝘁 𝗼𝘂𝗿 𝗧𝗥𝗔𝗜𝗙 𝟮𝟬𝟮𝟲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗖𝗵𝗮𝗶𝗿𝘀!

💫 Join us for an in-depth discussion on 𝗚𝗲𝗻 𝗔𝗜, 𝗟𝗟𝗠𝘀 𝗮𝗻𝗱 𝗦𝗼𝗰𝗶𝗲𝘁𝗮𝗹 𝗩𝗮𝗹𝘂𝗲 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 led by our distinguished chairs 𝗦𝗶𝗺𝗮𝘆 𝗧𝗼𝗽𝗹𝘂 and 𝗝𝘂𝗹𝗶𝗮 𝗟𝗶.
@TU_Muenchen

[Andrew Ng @AndrewYNg]

I recently received an email titled “An 18-year-old’s dilemma: Too late to contribute to AI?” Its author, who gave me permission to share this, is preparing for college. He is worried that by the time he graduates, AI will be so good there’s no meaningful work left for him to do to contribute to humanity, and he will just live on Universal Basic Income (UBI). I wrote back to reassure him that there will still be plenty of work he can do for decades hence, and encouraged him to work hard and learn to build with AI. But this conversation struck me as an example of how harmful hype about AI is.

Yes, AI is amazingly intelligent, and I’m thrilled to be using it every day to build things I couldn’t have built a year ago. At the same time, AI is still incredibly dumb, and I would not trust a frontier LLM by itself to prioritize my calendar, carry out resumé screening, or choose what to order for lunch — tasks that businesses routinely ask junior personnel to do.

Yes, we can build AI software to do these tasks. For example, after a lot of customization work, one of my teams now has a decent AI resumé screening assistant. But the point is it took a lot of customization.

Even though LLMs can handle a much more general set of tasks than previous iterations of AI technology, compared to what humans can do, they are still highly specialized. They’re much better at working with text than other modalities, still require lots of custom engineering to get it the right context for a particular application, and we have few tools — and only inefficient ones — for getting our systems to learn from feedback and repeated exposure to a specific task (such as screening resumés for a particular role).

AI has stark limitations, and despite rapid improvements, it will remain limited compared to humans for a long time.

AI is amazing, but it has unfortunately been hyped up to be even more amazing than it is. A pernicious aspect of hype is that it often contains an element of truth, but not to the degree of the hype. This makes it difficult for nontechnical people to discern where the truth really is. Modern AI is a general purpose technology that is enabling many applications, but AI that can do any intellectual tasks that a human can (a popular definition for AGI) is still decades away or longer. This nuanced message that AI is general, but not that general, often is lost in the noise of today's media environment.

Similarly, the progress of frontier models is amazing! But not so amazing that they’ll be able to do everything under the sun without a lot of customization. I know VC investors who are scared to invest in application-layer startups because they are worried that frontier AI model companies will quickly wipe out all of these businesses by improving their models. While some thin wrappers around LLMs no doubt will be replaced, there also remains a huge set of valuable applications that the current trajectory of progress of frontier models won’t displace for a long time.

Without accurate information about the current state of AI and how it is likely to progress, some young people will decide not to enter AI because think think AGI leaves them no meaningful role, or decide not to learn how to code because they fear AI will automate it — right when it is the best time ever to join our field.
Let us all keep working to get to a precise understanding of what’s actually possible, and keep building!

[Original text: https://t.co/OfxCVPGKoq ]

[MIT Sloan Management Review @mitsmr]

Nearly 80% of our panelists agree or strongly agree that responsible AI governance is not just about how a technology is designed or deployed but also about when it should be deployed. https://t.co/AiZkzyqeiv