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Women in AI: Meet Rashida Richardson, Senior Counsel at Mastercard Leading the Charge on AI and Data Privacy Initiatives

Here is a rewritten version of the article in a more neutral and concise tone:

The Women in AI Making a Difference

Rashida Richardson, a leading expert on artificial intelligence (AI) and bias, believes that building responsible AI requires clear principles, policies, and standards. In an interview with TechCrunch, she emphasized the importance of defining what constitutes "responsible" or "trustworthy" AI.

The Challenges of Building Responsible AI

Richardson noted that many underlying pillars of responsible AI are based on normative values, which can be subjective and open to interpretation. This makes it challenging to determine what constitutes responsible behavior, as individuals may have different definitions of fairness, safety, and other key concepts.

Investors’ Role in Promoting Responsible AI

To promote responsible AI development, investors need to define clear standards for responsible AI use. Currently, "responsible" or "trustworthy" AI are marketing terms without clear guidelines. Richardson suggested that investors can push companies to adopt better practices by taking action when their practices do not align with societal values.

The Importance of Global Standards

To address the challenges of building responsible AI, Richardson emphasized the need for global standards and frameworks. Until such standards exist, companies will continue to operate in a gray area, making it difficult to determine what constitutes responsible behavior.

Key Takeaways

  • Rashida Richardson highlights the importance of clear principles, policies, and standards for responsible AI development.
  • Building responsible AI is challenging due to subjective definitions of key concepts like fairness and safety.
  • Investors can promote responsible AI by defining clear standards and taking action when companies’ practices do not align with societal values.

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