AI Regulation: Global Shifts & Compliance Challenges

https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/dd/f1/dd/ddf1dd29-a2a4-1d46-44de-a74f75aa56e8/mza_2792799724715466068.jpg/600x600bb.jpg

The Emotional AI Edge

CavefishAI, with Jonathan Prescott (Co Founder, Cavefish AI)

22 episodes

5 days ago

The Emotional AI Edge explores how artificial intelligence intersects with emotion, ethics, and enterprise. Hosted by Cavefish AI, we unpack emotional intelligence, sentiment analysis, and affective computing across HR, marketing, CX, and compliance. From smarter hiring to fraud detection, discover how AI with heart is changing business. 🎧 Subscribe now. #emotionalai #hrtech #aiethics #cavefishai #artificialintelligence #ainews

Business News

News

RSS

All content for The Emotional AI Edge is the property of CavefishAI, with Jonathan Prescott (Co Founder, Cavefish AI) and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Business News

News

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_episode/42133330/42133330-1746445149090-dc12034d15b63.jpg

AI Regulation: Global Shifts & Compliance Challenges

The Emotional AI Edge

16 minutes 40 seconds

6 months ago

AI Regulation: Global Shifts & Compliance Challenges

As artificial intelligence continues its rapid evolution, global regulators are moving swiftly to catch up. This episode dives into the growing wave of AI regulation, focusing on the European Union’s AI Act—hailed as the first comprehensive legal framework for AI—as well as ongoing developments in the United States and the United Kingdom.

We explore how these emerging legal standards aim to strike a balance between fostering innovation and ensuring responsible, ethical use of AI. The EU AI Act, in particular, introduces a tiered risk-based classification system that determines the level of scrutiny and requirements imposed on various AI applications. High-risk AI systems will face stricter obligations, while general-purpose tools like generative AI models will need to meet transparency and disclosure standards.

One of the most pressing issues in the workplace today is the use of biometric data for monitoring employees. We discuss why this is a legal and ethical minefield, especially under data protection regimes like the GDPR. Companies must tread carefully, ensuring any data collection is transparent, proportionate, and free of algorithmic bias. Missteps in this area can lead to both legal penalties and reputational damage.

For multinational organisations, the stakes are even higher. Navigating a patchwork of AI and data protection laws across multiple jurisdictions presents unique challenges. With no unified global standard, businesses must adopt a proactive, flexible approach to compliance—investing in internal governance, training, and risk assessment frameworks that can adapt to new regulations as they emerge.

Whether you're a tech leader, compliance officer, HR executive, or just curious about the future of ethical AI, this episode offers essential insights into how regulatory shifts will shape the next era of AI deployment. Don't miss this deep dive into legal strategy, risk management, and responsible innovation.

🎧 Tune in now to stay ahead of the AI compliance curve.

#cavefishai #artificialintelligence #ainews