#AI# is outpacing the rules meant to govern it. @UNESCO is turning ethical principles into practice—from the 2021 Recommendation on #AIEthics# to tools that help countries strengthen AI policies and governance. This week, the 4th UNESCO Global Forum on AI Ethics in Riyadh unites governments, the private sector, researchers, and civil society to ensure AI serves the public good. Learn more:  #GFEAI# @SDAIA_SA @ICAIRE_AI

An AI that calls itself Santa Claus versus one that calls itself his helper — which one is better at persuading children? Title: Persona and Persuasive Framing in AI Voice Agents: A 2×2 Field Experiment with Children URL: ❓ What did they actually test? The researchers embedded a research voice agent into a real German Santa hotline. Calls were randomly routed into one of four combinations — "Santa" or "Helper" persona, crossed with "persuasive" or "neutral" conversation — and they measured whether children spontaneously expressed a prosocial wish (one benefiting someone else). ❓ Did the persuasive framing actually work? Yes, strongly. 45.7% of children in the persuasive condition expressed a prosocial wish, versus just 11.6% in the neutral condition — an odds ratio of 6.4, and the effect held even after controlling for age and call duration. ❓ Was Santa more persuasive than the generic Helper? Surprisingly, barely at all. Under the persuasive framing, Santa (46.2%) and Helper (45.0%) were statistically indistinguishable. How the agent talked mattered far more than who it claimed to be. 💡 So did persona matter at all? Yes — just not for persuasion. Calls to the Helper ended within the first minute at a rate over 25 points higher than Santa's, and were more than 4x as likely to end without the child saying a word. Persona decided whether kids stayed on the line at all, not whether they complied once they did. The idea that a child-directed agent's persuasive power lives in its cheaply-rewritten script rather than its visible character feels like it should weigh heavily on how we think about regulating this. #AIEthics# #ChildrenAndAI#

AI and Urban Inequality? In Karen Hao’s award-winning "Empire of AI", 250 interviews reveal how tech giants gaslight the public by bankrolling researchers to silence critique. Hao exposes the exploitation of Kenyan laborers like Mophat Okinyi, who was paid pennies to filter 15,000 violent images monthly for ChatGPT. Despite Sam Altman’s dismissal, the book proves that true auditing requires looking at those paid the least, not the industry’s funded elite. The deeper issue is not just AI ethics, but AI-driven urban inequality. As AI wealth concentrates in a few global tech hubs, low-paid digital laborers in developing cities absorb the psychological and economic costs. The future of AI cities may ultimately be defined not by intelligence, but by how fairly AI-generated wealth is distributed. CityAI is exploring how AI and blockchain can help reduce these inequalities and expand access to value creation.

Kite Community Growth Plan AI Sharing ✅ Topic: AI Ethics & Human-in-the-Loop 1⃣The fairness paradox: equality of outcome vs. equality of opportunity, AI can’t solve this alone 2⃣Bias detection tools & Explainable AI (XAI) are the how 3⃣Defining fairness is the why, and that’s always a human job 4⃣Red teams, model revisioning & value alignment: the future of responsible AI Thanks @YoBroGRone for the great sharing session!👏 Better AI isn’t just better code. It’s better guardrails. #KiteAISharing# 🪁

Why is AI Ethics suddenly on the top of the agenda? Prof. Ali Hessami, Director of R&D & Innovation at Vega Systems, addressed the question in his keynote speech at #embeddedworld# 2023. Learn more about this important topic ➡️

You're not hallucinating if your AI governance feels like it's built for a world that no longer exists. Many governance programs were designed for two or three centrally managed pilots, not the exponential scale of agentic AI deployment today. In the latest episode of You’re Not Hallucinating Steve Mills, BCG’s Chief AI Ethics Officer, explains how to deploy risk management that matches CEOs’ AI ambitions. Learn more:

People keep using the word "trust" without saying what they mean. When a bank asks whether they can trust an AI system, they are not asking one question. They are asking at least five. - Can I trust how the AI handles our customers' data? - Can I trust that the AI can explain why it made a decision? - Can I trust that the AI operates within proper governance frameworks? - Can I trust that a human will step in when the AI is uncertain? - Can I trust that the AI follows our compliance obligations? Each one of those is a different problem with a different answer. You can have an AI that is completely secure from a data standpoint but has zero explainability built in. You can have an AI that is technically compliant but has no real governance framework around it. Trust in agentic AI is a stack, not a switch. The components: information security, explainability, governance, compliance, AI ethics, human oversight, and audit trails. Every one of them matters. We will go through each one in this series. --> Follow this page and save this post. We are breaking down each pillar over the next 1 week. #TheTrustSeries#

Artificial intelligence is changing education. But what does that mean for teachers? @UNESCO's AI Competency Framework for Teachers sets out 15 competencies across five key areas, including AI ethics, pedagogy and a human-centred approach. The goal? To help teachers harness AI while keeping human agency and teachers’ rights at the heart of education. 📘 #WorldTeachersDay#