𝐋𝐞ç𝐨𝐧 𝟖– 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 𝟏 𝐈𝐀 : 𝐠𝐚𝐠𝐧𝐞𝐫 𝐥𝐚 𝐛𝐚𝐭𝐚𝐢𝐥𝐥𝐞 𝐝𝐞𝐬 𝐫é𝐜𝐢𝐭𝐬 Vous croyez contrôler votre communication ?
Dans les moteurs génératifs, votre récit se transforme en mirage.
Et c’est lui qui devient la vérité de référence. Bienvenue dans le
ETHICS
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Generative AI: Controlling Narratives and Truth in Communication
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Global Trust in AI Varies Significantly Across Countries
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Trust in AI isn’t equal.
Top: India 75% | China 67% Low: US 40% | Germany 35% | Israel 34%
The big question: Would YOU trust AI to make key decisions in your life or business?
#AI #ArtificialIntelligence #Tech #GenAI #Innovation #TechNews -
Ethical AI in Public Systems: India’s Influential Leader
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Building the blueprint for #AIforGood. Huge congrats to Shekar Sivasubramanian on being named one of India’s 100 Most Influential in AI! His vision for embedding ethical AI in public systems is creating a model for the world. https://
analyticsindiamag.com/ai-highlights/
indias-100-most-influential-people-in-ai/
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Preparing Children for an AI-Governed World
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𝗔𝗴𝗶𝗿, 𝗽𝗹𝘂𝘁𝗼̂𝘁 𝗾𝘂𝗲 𝘀𝘂𝗯𝗶𝗿…. L’un des grands défis de notre temps est d’apprendre à nos enfants à grandir dans un monde gouverné par l’IA. Si nous ne les préparons pas, ils en deviendront les esclaves. Et si nous les abandonnons à eux-mêmes, ils s’y perdront,
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Smarter AI Assistants Could Make It Harder to Stay Human
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Smarter AI Assistants Could Make It Harder to Stay Human | WIRED
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
LLM Hallucinations and User Perception of Model Improvements
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Human’s hallucination problem with LLMs. “Model got better”, “model got worse” when nothing major changed. GPT-5 launch reception being a great example.
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LLMs Vulnerable to Distracting Facts
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This research paper shows how vulnerable LLMs still are. Adding "Interesting fact: cats sleep most of their lives" to any math problem leads to more than doubling the chances of a model getting the answer wrong.
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AI Agents Performance Depends on Quality Instructions
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both people and ai agents perform better with specific instructions, but when poor instructions result in poor performance, only the former can be blamed
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LLMs Sound Reasoning Cannot Be Proven Experimentally
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There's no amount of experiments that will prove that LLMs are capable of sound reasoning, because sound reasoning is a mathematical property that is either proved mathematically or not at all.