EqualAI releases 11 principles for responsible AI governance

EqualAI, a non-profit organization, has released a best practice report on establishing 11 responsible and ethical principles in the field of AI. Responsible AI, as defined by EqualAI, means being safe, inclusive, and effective for all potential end users. These principles include privacy, transparency, and robustness. The report was co-authored by executives from Google DeepMind, Microsoft, Salesforce, Amazon Web Services, Verizon, SAS Institute, PepsiCo, customer engagement company LivePerson, and aerospace and defense company Northrop Grumman. The report does not specifically specify generative AI, but covers all "complex AI systems" currently being built, procured, and integrated. What is the EqualAI Responsible AI Governance Framework? The EqualAI Responsible AI Governance Framework includes the following 11 principles: 1. Protect privacy. 2. Transparency. 3. Human-centeredness. 4. Respect for individual rights and societal benefits. 5. Open innovation. 6. Reward robustness. 7. Continuous innovation and review. 8. Engage employees. 9. Prioritize fairness through accountability. 10. Human intervention (continuously supervise AI decision-making). 11. Professional development. It also includes the following six core pillars: 1. Responsible AI values and principles. 2. Accountability and clear scope of responsibility. 3. Documentation. 4. Defined processes. 5. Multi-stakeholder review (including marginalized and minority groups). 6. Metrics, monitoring, and reassessment. The framework is based on EqualAI's Responsible AI Certification Program, which aims to help business leaders mitigate bias in AI. Miriam Vogel, President and CEO of EqualAI, stated in a press release, "At EqualAI, we have found that achieving consensus on AI principles enables organizations to operationalize their values by establishing rules and standards to guide decisions related to AI development and use." What steps can organizations take to create an effective responsible AI strategy? According to the report, key steps in adopting an effective responsible AI strategy include: 1. Ensuring support from senior management or the board of directors. 2. Considering feedback from diverse and minority groups. 3. Empowering employees to raise potential concerns. An organization's responsible AI framework can be customized based on its existing corporate values and use of AI. The goal is not to achieve "zero risk," which is impossible; instead, companies should strive to create a culture of responsible AI governance. Performance recognition, compensation, and promotion incentives can be linked to AI risk mitigation measures. Why is responsible AI governance important? EqualAI states that investing in responsible AI practices benefits both businesses and humanity. EqualAI cites a study conducted by Cisco in January 2023, which found that 60% of consumers are concerned about how organizations apply and use AI (without specifically specifying generative AI). Cisco also found that 65% of consumers have lost trust in organizations due to AI practices. The report states, "After investigating their specific AI domains and perspectives, it is now time to develop AI principles that align with organizational values and establish infrastructure and processes... to support these values and ensure they are not hindered by the use of AI."