The role of AI in protecting and managing digital identities has become of great importance. However, this rise in AI-driven solutions raises questions of ethic and accountability. This session will focus on the ethical implications of data consumption, transparency, privacy concerns and the possibility of bias in Identity Verification Systems.
We will explore the responsibilities of organization, policy makers and developers in ensuring that AI Technologies respects & upholds the value of fairness, transparency and accountability.
By tackling these challenges, we can promote trust and equity in AI applications and ensuring that individual identities are safe, and they can retain control over their personal information in AI-driven society.
Key takeaway from this session:
- Effective Data Stewardship
- Ethical implications of AI in digital Identity
- Shared responsibilities of Stakeholders in AI solution for digital identity
- Strategies for fairness and transparency: Strategies for designing AI systems that prioritize fairness, reduce bias and protect user privacy in digital identity applications.
