HeyJaredAI Ethics Now
AI Ethics Now is a podcast dedicated to exploring the complex issues surrounding artificial intelligence from a non-specialist perspective, including bias, ethics, privacy, and accountability.
- Indexed episodes, last 90 days
- 3
- Latest publication
- Sep 6, 2026
- Audience
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- Earliest in this view
- Jul 26, 2026
Latest episodes
6. AI and Hope: Rewiring Universities for Human Flourishing (opens the original)
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What is AI actually revealing about us as humans? And what would it mean to build institutions that help us become more human, not less? In this episode, I speak with Dr Jessica Riddell , Professor of Early Modern Literature at Bishop's University , Quebec, where she holds the Stephen A. Jarislowsky Chair of Undergraduate Teaching Excellence. Jessica is the founder of the Hope Circuits Institute and author of Hope Circuits: Rewiring Universities and Other Systems for Human Flourishing , as well
5. AI and Accountability: When Does a Suggestion Become a Decision? (opens the original)
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What happens when a machine's output looks more certain than the evidence behind it? Where does responsibility sit when an AI flags a decision that nobody actually signed off on? And can a company built around one founder's neurodivergent thinking scale into something an institution like the NHS can trust? In this episode, I speak with Varun Sharma , Founder of NEUVIOR . Varun built the company after his own ADHD diagnosis, structuring it deliberately around neurodivergent cognition. His flagshi
4. AI and Healthcare: Who's Actually Accountable When It Fails? (opens the original)
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Where does accountability actually land when an AI system causes harm in a healthcare setting? And is the EU AI Act the compliance headache many organisations fear, or just common sense engineering practice by another name? In this episode, I speak with Antonina Burlachenko , Head of Quality and Regulatory Consulting at STAR , who works directly with healthcare, medtech, and AI product teams navigating regulated AI deployment across Europe and the US. Antonina argues that accountability for AI h
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