Beyond 2026 - The Role of AI-Generated Content in Machine Learning

Explore the future of Machine Learning in this 46-minute conference talk from MLCon, focusing on the role of AI-generated content beyond 2026. Delve into the implications of generative AI models on bias in future ML systems, addressing the projection that up to 90% of online content could be AI-generated by 2026. Examine the impact of upcoming regulations like the EU AI Act on bias mitigation. Learn about current pitfalls and strategies to address bias in future AI models and ML practices. Compare the challenges and benefits of training ML models on synthetic versus real-world data. Gain insights into potential breakthroughs and upcoming challenges in the field, equipping yourself with actionable guidance as an ML practitioner. Stay ahead of the curve in understanding and mitigating bias in AI and ML through this essential discussion.

Beyond 2026 - The role of AI generated Content in ML | Eric Dauenhauer [MLCon Sessionrecording]