Who’s Liable When AI Goes Rogue? Ethics, Law & Accountability

In this episode of Everything AI and Law, Tolulope sits down with Monica D. Higgins to talk about something that's becoming more and more urgent: when AI messes up—who’s to blame?From biased algorithms to deepfakes, from legal personhood to job loss fears—this conversation goes deep. Monica shares honest, practical insights from her work at Future Proof, where she helps companies and individuals make AI useful and actually make sense in the real world. It’s smart, eye-opening, and packed with gems—whether you’re into tech, law, or just trying to figure out where you fit in the AI age.🧭 Timestamps & Topics:00:00 – The biggest ethical blind spot in AI adoption02:00 – OpenAI’s Sora & systemic bias in AI-generated content04:56 – Should AI be granted legal personhood?07:58 – Rights vs. responsibilities: Who is truly accountable?09:09 – Agentic AI: Excitement, fear & future implications10:05 – Upskilling: The antidote to AI-induced job displacement12:30 – How Future Proof designs role-specific AI training14:37 – Deepfakes: Real concerns in a synthetic world17:03 – A universal code of ethics for AI?18:33 – Transparency, bias & the ethics checklist19:13 – AI companionship: Support or silent danger?21:02 – Negligence & product liability in AI deployment23:00 – Should AI liability be a new legal category?23:53 – AI in hiring: The case for algorithmic bias audits24:49 – Should agency be granted to AI?25:09 – What’s next for Future Proof & AI innovation27:35 – Final thoughts: Upskilling, value, and the future of work28:50 – Monica’s vision: “Let technology live up to its hype”Connect with Monica D. Higgins & FuturProof:🔗 LinkedIn🌐 FuturProof WebsiteConnect with Tolulope Awoyomi (Host):🔗 LinkedIn🔗 TwitterLike what you heard? Hit subscribe, leave a rating/review, and share it with someone who needs to hear this.Tag us with your thoughts using #EverythingAIAndLaw