https://ai-auditingframework.blogspot.com/2019/06/when-it-comes-to-explaining-ai.html
Paper: Accountability of AI Under the Law: The Role of Explanation (by Finale Doshi-Velez et al)
Finale Doshi-Velez (Harvard): Considerations for the Practical Impact of AI in Healthcare
Light, high-level presentation at a FDA event in 2017 (?), with some *easy* examples of *bias* and *potential errors/issues*.. (also some pointer to GDPR discussion)
Harvard/comments – Guidelines for reinforcement learning in healthcare
FDA – exploratory whitepaper on use of adaptive MIL/AI-based Software as a Medical Device (SaMD)
AI Ethics – Too Principled to Fail?
ICO: AI Auditing Framework Blog
Known security risks exacerbated by AI
https://ai-auditingframework.blogspot.com/2019/05/known-security-risks-exacerbated-by-ai.html
Accuracy of AI system outputs and performance measures
https://ai-auditingframework.blogspot.com/2019/05/accuracy-of-ai-system-outputs-and.html
Automated Decision Making: the role of meaningful human reviews
https://ai-auditingframework.blogspot.com/2019/04/automated-decision-making-role-of.html
An overview of the Auditing Framework for Artificial Intelligence and its core components
An overview of the Auditing Framework for Artificial Intelligence and its core components
OECD Principles on Artificial Intelligence (AI)
42 countries adopt new OECD Principles on Artificial Intelligence
Draft Ethics Guidelines for Trustworthy AI
Working Document for stakeholders’ consultation through the European AI Alliance.
GUIDELINES ON ARTIFICIAL INTELLIGENCE AND DATA PROTECTION
by the CONSULTATIVE COMMITTEE OF THE CONVENTION FOR THE PROTECTION
OF INDIVIDUALS WITH REGARD TO AUTOMATIC PROCESSING OF PERSONAL DATA
(Convention 108)
https://rm.coe.int/guidelines-on-artificial-intelligence-and-data-protection/168091f9d8