Ethical Considerations in AI Research

This workshop aimed to explore the ethical considerations in AI research, focusing on key areas such as:

Privacy, Bias, Transparency, and Accountability: Examining how AI systems handle data privacy, avoid bias, maintain transparency, and uphold accountability to ensure fair and responsible outcomes.
Best Practices for Ethical Development: Providing a platform for participants to share and discuss best practices in AI development, including frameworks and strategies that promote ethical standards and trustworthiness.

The workshop encouraged collaborative dialogue to strengthen ethical guidelines in AI research, aiming to advance responsible AI that serves the societal good.

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