We believe Artificial Intelligence (AI) has the power to transform business and are committed to helping our clients and our people harness that potential with clear principles and ethical guardrails for the responsible use of AI. The pace of change for ourselves and our clients has never been faster and we will continuously update these principles to support world-leading responsible and inclusive AI advancements. We encourage all organizations to establish clear principles for the responsible use of AI and commit to adhering to the following guiding principles:
1. Accurate & reliable
Develop AI systems to achieve industry-leading levels of accuracy and reliability, ensuring outputs are trustworthy and dependable.
2. Accountable & transparent
Establish clear oversight by individuals over the full AI lifecycle, providing transparency into development and use of AI systems and how decisions are made.
3. Fair & human-centric
Design AI systems with human oversight and diverse perspectives, and aligned with our firm values to mitigate risks of unfair discrimination and harmful bias.
4. Safe & ethical
Prioritize the safety of human life, health, property, and the environment when designing, developing, and deploying AI systems, aligning with ESG principles.
5. Secure & resilient
Mitigate potential cyber threats and vulnerabilities to ensure the robustness and resilience of AI systems.
6. Interpretable & documented
Design AI systems to be interpretable, allowing humans to understand their operations and the meaning and limitation of their outputs. Document design decisions, development protocols, and alignment with RAI principles.
7. Privacy-enhanced & data governed
Develop AI systems with careful attention to privacy, security, confidentiality, and intellectual property ownership considerations around the data used.
8. Vendor & partner selection
Exercise diligence and ongoing oversight when selecting third-party vendors involved in AI system development (eg, data brokers, cloud service providers).
9. Ongoing monitoring
Establish standards for continuous monitoring and evaluation of AI systems to uphold ethical, legal, and social standards and performance benchmarks.
10. Continuous learning & development
Commit to continuous learning and development of AI systems, adapting through adaptive training, feedback loops, user education, and regular compliance auditing to remain aligned with ethical, legal, and societal standards.