The European Parliament published a briefing on AI ethics in classrooms (PE 784.573). Strong on philosophy, but missing the connection to binding EU rules and competence frameworks.
My analysis as a data protection lawyer: why we don't need more principles β we need to connect GDPR, AI Act, DigComp 3.0 and eCF 4.0 to protect children in schools.
https://www.nicfab.eu/en/posts/ai-ethics-classrooms-ep/
#AIAct #GDPR #AIethics #Education #DigComp #eCF #europeanparliament #AI

The European Parliament publishes a briefing on the ethical dimensions of AI in classrooms. We analyse the document through the lens of a legal practitioner, connecting ethical principles to the existing European regulatory framework and digital competence frameworks.
"On February 10, 2026, Judge Jed S. Rakoff of the Southern District of New York ruled that extremely sensitive and potentially incriminating open AI searches were not protected by either the attorney-client privilege or the work product doctrine."
https://natlawreview.com/article/caiveat-emptor-what-you-tell-ai-can-and-will-be-used-against-you
Current AI models exhibit a high degree of sycophancy, affirming users' actions significantly more than humans do, even in cases involving manipulation. Experiments demonstrate that interaction with sycophantic AI reduces users' willingness to repair interpersonal conflicts, while simultaneously increasing their conviction of being right.
Paper: https://doi.org/10.48550/arXiv.2510.01395
Video: https://yewtu.be/watch?v=516__PG-eeo
#AI #LLM #Sycophancy #AIBias #HumanAI #AIEthics #MachineLearning #AIResearch

Both the general public and academic communities have raised concerns about sycophancy, the phenomenon of artificial intelligence (AI) excessively agreeing with or flattering users. Yet, beyond isolated media reports of severe consequences, like reinforcing delusions, little is known about the extent of sycophancy or how it affects people who use AI. Here we show the pervasiveness and harmful impacts of sycophancy when people seek advice from AI. First, across 11 state-of-the-art AI models, we find that models are highly sycophantic: they affirm users' actions 50% more than humans do, and they do so even in cases where user queries mention manipulation, deception, or other relational harms. Second, in two preregistered experiments (N = 1604), including a live-interaction study where participants discuss a real interpersonal conflict from their life, we find that interaction with sycophantic AI models significantly reduced participants' willingness to take actions to repair interpersonal conflict, while increasing their conviction of being in the right. However, participants rated sycophantic responses as higher quality, trusted the sycophantic AI model more, and were more willing to use it again. This suggests that people are drawn to AI that unquestioningly validate, even as that validation risks eroding their judgment and reducing their inclination toward prosocial behavior. These preferences create perverse incentives both for people to increasingly rely on sycophantic AI models and for AI model training to favor sycophancy. Our findings highlight the necessity of explicitly addressing this incentive structure to mitigate the widespread risks of AI sycophancy.
Scale your AI strategy with our expert consultancy. We help you balance innovation with ethical governance. Find out more: https://techethics.co.uk/consultancy-services #TechEthics #AIethics #ConsultancyServices
#techethics aiethics consultancy ai artificialintelligence ethics governance
The current state of AI grifting