About this episode
AI is transforming industries, but at what cost? From bias in algorithms to environmental impact, the hidden downsides of AI often go unnoticed. In this episode, Sarah Patel, an AI Ethics Researcher, breaks down the ethical dilemmas, unseen risks, and real-world consequences of AI adoption. Whether you're an AI builder, policymaker, or just curious about the tech shaping our world, this conversation will make you think twice.
Algorithmic Bias: Who’s Writing the Rules?
AI systems are only as good as the data they’re trained on. When data is biased, AI makes biased decisions. From hiring algorithms that discriminate against women to facial recognition systems that misidentify minorities, AI can reinforce and even amplify existing inequalities.
The Carbon Footprint of AI
Training massive AI models like GPT-4 requires staggering amounts of energy. In fact, a single training run can emit as much carbon as five cars over their lifetime.
AI and the Future of Work
One of AI’s biggest promises is automation—but that also means jobs are at risk. Which industries are most vulnerable to AI-driven job loss? And what can workers do to stay relevant in an increasingly automated world?
"AI isn’t just code and data — it’s shaping society in ways we’re only beginning to understand."
John Rush, Serial AI Entrepreneur
Transcript
- 00:00 – Introduction: Why AI’s hidden costs matter
- 04:12 – The problem with biased AI models
- 12:45 – How AI impacts job markets
- 22:30 – The carbon footprint of AI training
- 32:10 – Can we build ethical AI?
- 40:05 – Final thoughts & key takeaways
