Ric Osei

[Ric Osei @ric_osei]

@kathrynreff04 I agree with this, it shows how AI ethics isn’t just about the code, but the human cost. Both the people training the models and users whose biases are being mirrored back at them to make a system that isn’t reliable share this responsibility

[Ric Osei @ric_osei]

@Creative1280942 You made a great point. It’s interesting how these harmful environments can be created even without bad intentions. This shows how the danger isn’t the data we give AI but the harmful inferences AI makes on its own.

[Ric Osei @ric_osei]

Modern AI has rendered traditional data privacy laws obsolete. Since AI can make harmful inferences even if you never provided that specific data, asking for permission to collect data isn’t enough to protect people anymore. #RutgersDCIM #RUVirtualSP26

[The Institute for Ethics in AI @EthicsInAI]

Last week, Professor of Law and Regulation of AI at the Institute for Ethics in AI, @IgnacioCofone, delivered the annual lecture of the Centre for Business Law and Practice at the University of Leeds.

In his talk, “How AI Requires Rebuilding Data Protection Law,” Professor Cofone explored how modern AI systems challenge the traditional foundations of data protection.

The lecture highlighted why existing consent-based frameworks may no longer be sufficient, and why data protection law must increasingly focus on constraining harmful inferences and addressing real social impacts of data practices.

To learn more about Professor Cofone's work, please visit: https://t.co/kBDu8QcdlO

Discover how we are approaching AI policy, law and regulation at the Institute for Ethics in AI: https://t.co/1gqFQmBhdg

[Ric Osei @ric_osei]

@tavaglione0809 This is a good point. We often focus so much on students using AI that we forget how much it can help professors. If AI handles the mundane parts of lesson planning, it frees up more time for professors to focus on actual mentorship and in depth convos

[Ric Osei @ric_osei]

@JarralImma3401 I agree. If we use AI only for the final product, we miss out on learning how to actually solve problems. Shifting the focus to real thinking in classes ensures we’re building the skills that employers actually want, rather than just knowing how to generate an output

[Ric Osei @ric_osei]

This highlights a massive shift cause while 79% of teachers are now experimenting with AI, a significant training gap remains less than half receiving formal guidance. It’s clear that AI becomes a classroom staple so Ai literacy is important. #RUVirtualFA26 #RutgersDCIM

[Vicki Davis @coolcatteacher]

79% of teachers have now tried AI tools in their classroom. Up from 63% last year. The future of teaching isn't coming. It's here. (Data: Edweek Research Center) #EdTech #AIinEducation @educationweek (Sadly, less than half of schools have had training! Has yours?)