ATxSummit 2024 On Demand Responsible AI Evaluation Tools Standar

The speaker starts by acknowledging the tough act to follow in the session after a series of high-profile speakers. The panel is introduced as uniquely placed to discuss evaluation in testing, certification, and audits.

The speaker shares a personal experience from their past involving a financial regulator questioning the effectiveness of a rule-based system in a bank. This led to a significant amount of trouble and fines due to the system's lack of transparency and effectiveness.

Panelists introduce themselves, including their roles and affiliations. They include experts in AI governance, AI safety, AI strategy, and solutions, and government representatives from various countries.

Discussions revolve around AI governance, standards development, and the role of organizations like ISO and IEC in setting international AI standards. The importance of collaboration and international cooperation in AI governance is highlighted.

The discussion shifts to tools and technologies for evaluating AI systems. The focus is on developing robust, reliable AI models, benchmarks, and metrics to ensure the safety and efficiency of AI systems.

The importance of third-party assurance providers in assessing AI systems is emphasized. These providers offer objectivity, specialized expertise, and help ensure compliance with regulations and technical standards.

Panelists provide advice for Singapore on contributing to the global process of AI evaluation. Suggestions include fostering an ecosystem for trust in AI, engaging stakeholders, and continuing to lead in responsible AI deployment.

Advocacy for greater involvement of academia in multistakeholder conversations, highlighting the importance of driving research around AI safety and developing new tools and approaches.

Emphasizing the responsibility of all individuals in the AI leadership to address challenges and innovate in a rapidly evolving field, stressing the need for collaboration and iterative approaches.

Encouragement to be bold and proactive in implementing AI initiatives, stressing the need for iterative improvements and being conscious of the responsibility to drive forward progress.

Recognition of Singapore as a global leader in AI governance and the recommendation to continue current practices to guide other nations in AI governance frameworks.

Advice to adopt a broad approach in AI governance, including considerations for data governance, digital platform governance, and the importance of motivation and regulators' roles.

Highlighting the significance of collaboration and engagement among stakeholders, emphasizing the role of individuals in driving progress through interactions, terminology standardization, and open-source collaboration.