AI Accountability: Impact Assessments, Audits, and Conformity

Examines the use of impact assessments to support accountability and cultivate trust in Artificial Intelligence (AI) systems. It highlights the growing deployment of AI and the need for ethical development and responsible use.

Focuses on algorithmic impact assessments (AIAs) as a practical tool for mitigating risks by reviewing AI systems' objectives, design, and purpose. It compares AIAs favourably to third-party auditing and conformity assessments, which face challenges such as a lack of standards.