Algorithmic Mercy: Can Machines Be Taught to Forgive? As AI makes more decisions, can it learn to forgive? Explore how algorithmic mercy could reshape justice, hiring, and trust in machines.
Language, Unleashed: Can Foundation Models Understand What They Say? Foundation models can generate human-like text—but do they actually understand meaning, or just mimic it?
Opt-In or Opted Out?: When AI Knows You Better Than You Know Yourself As predictive AI anticipates your every move, where’s the line between personalization and manipulation? Explore the ethics of unconscious consent.
Invisible Injustice: What If the Bias Is in the Silence? When AI says nothing, is it staying safe—or silencing truth? Explore the risks of omission and quiet bias in today’s intelligent systems.
The Morality Patch: Are We Treating Ethics Like a Software Update? AI systems can't be debugged for morality post-launch. Explore why ethical design must be built in, not bolted on.
Predicting Crime or Automating Bias?: The Risky Future of AI Policing AI is reshaping policing, but biased data and black-box tools raise concerns. Is predictive policing justice — or automation of injustice?
Fair by Whose Code?: When Global Ethics Collide in AI Development AI systems face cultural collisions when deployed globally. Whose definition of fairness should guide ethical AI?