AI Tribes 2024 : Balancing the Equation Ethical Strategies for Bias Free AI

Balancing AI innovation with ethical regulation is crucial for bias-free AI.

Key takeaways

Balancing AI innovation with ethical regulation is a crucial step towards bias-free AI.
The speaker has a background in Capitol Hill and led a company before joining Workday as VP for corporate affairs.
Workday has been involved in AI development in the HR space, particularly in skills matching technology.
The company has been experimenting with AI to improve the hiring process, but also recognizes the importance of responsible technology development.
The speaker emphasizes the need for a regulatory structure that supports innovation while ensuring accountability and transparency.
The EU’s GDPR and the US’s AI Act are examples of regulatory efforts to address AI bias.
AI technology has the potential to perpetuate biases if not designed with ethical considerations.
The speaker suggests that a skills-based approach can help scale AI adoption, but requires careful consideration of the data used.
The company emphasizes the importance of transparency and accountability in AI development, and will work to create a framework for ethical standards in AI.
The speaker encourages others to engage in the regulatory AI conversation to shape the future of AI development.
Workday aims to create a platform that can accurately match job seekers with job openings, and is committed to building responsible AI technology.
The company will continue to work with regulators and stakeholders to ensure that AI development aligns with ethical and regulatory standards.

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