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In this 24-minute conference talk from DSC EUROPE 24, Sray Agarwal delves into the ethical challenges facing artificial intelligence in 2025. Explore how machine learning has transformed daily tasks over the past decade while creating significant ethical dilemmas comparable to the Oppenheimer Dilemma. Learn about essential responsible AI principles including fairness, accountability, privacy, and transparency that should be integrated throughout the data science lifecycle. Understand critical challenges in AI development such as hallucination, robustness, and reliability, alongside the importance of maintaining human-centricity and societal well-being. Examine the complex interplay between regulations, innovation, and global coordination in AI governance, and discover why collaborative approaches are essential as artificial intelligence continues to shape our future.
Syllabus
2025: year of Ai dilemma - ethics, regulations and innovations | Sray Agarwal | DSC EUROPE 24
Taught by
Data Science Conference