Responsible AI and Ethical Machine Learning: Pioneering Innovation While Ensuring Trust and Compliance
Abstract:-
Artificial Intelligence (AI) is transforming industries and economies, but its rapid growth has raised concerns about bias, fairness, and ethical accountability. This keynote explores the intersection of AI, ethics, and regulatory compliance, emphasizing how organizations can develop AI systems that are transparent, unbiased, and aligned with global standards like GDPR and the AI Act.
We will discuss cutting-edge methodologies in explainable AI (XAI), bias detection, and fairness-aware ML models, alongside real-world applications in finance, healthcare, and autonomous systems. The session will also cover AI governance strategies, ensuring that AI innovation drives economic growth while upholding public trust and ethical integrity.
This talk is a call to action for researchers, industry leaders, and policymakers to create AI systems that are both powerful and principled, shaping the future of responsible AI innovation.
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