2024 Responsible AI Transparency Report Summary

Key Commitments

• Focus Areas: Safe, secure, and trustworthy AI development and deployment.
• Framework Used: NIST AI Risk Management Framework.

Core Practices

• Govern: Implemented a Responsible AI Standard to integrate AI best practices into engineering, development, and tooling.
• Map: Conducted risk mapping to inform planning and safeguards for products like Copilot Studio and GitHub Copilot.
• Measure: Measured AI risks and impacts to manage considerations effectively.
• Manage: Managed risks at platform and application levels, including monitoring and incident response.

Product-Specific Initiatives

• Sensitive Uses Program: Guided risk management for specific products like Copilot for Security.
• Customer Empowerment: Provided AI Customer Commitments and over 30+ responsible AI tools (100+ features) for risk mapping, measurement, and mitigation.

Transparency and Engagement

• Transparency Efforts: Shared insights through comprehensive documentation.
• External Partnerships: Collaborated with governments, civil organizations, and academics in 2023 to engage with >50 groups on AI impact in developing countries.

Strategic Focus Areas

• Cybersecurity: Prioritized AI safety and security.
• Digital Safety: Focused on protecting users from harm.
• Ethical AI: Emphasized fairness, transparency, and accountability.
• Privacy: Ensured data protection and compliance with regulations like GDPR and CCPA.

Market Implications

• Competitive Advantage: Proactive approach to AI governance may differentiate the company in regulated markets.
• Regulatory Impact: Alignment with global AI frameworks could influence future regulatory standards.
• Long-Term Effects: Likely to drive industry-wide adoption of responsible AI practices and foster innovation through research partnerships.