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Considerations in assessing trustworthy AI - Respect for privacy and data protection

governance-question

“Compliance with this assessment list is not evidence of legal compliance, nor is it intended as guidance to ensure compliance with applicable law. Given the application-specificity of AI systems, the assessment list will need to be tailored to the specific use case and context in which the system operates. In addition, this chapter offers a general recommendation on how to implement the assessment list for Trustworthy AI though a governance structure embracing both operational and management level.” (High-Level Expert Group on AI, 2019, p. 24)“TRUSTWORTHY AI ASSESSMENT LIST (PILOT VERSION) “Privacy and data governance Respect for privacy and data Protection: - Depending on the use case, did you establish a mechanism allowing others to flag issues related to privacy or data protection in the AI system’s processes of data collection (for training and operation) and data processing? - Did you assess the type and scope of data in your data sets (for example whether they contain personal data)? - Did you consider ways to develop the AI system or train the model without or with minimal use of potentially sensitive or personal data? - Did you build in mechanisms for notice and control over personal data depending on the use case (such as valid consent and possibility to revoke, when applicable)? - Did you take measures to enhance privacy, such as via encryption, anonymisation and aggregation? - Where a Data Privacy Officer (DPO) exists, did you involve this person at an early stage in the process?” (High-Level Expert Group on AI, 2019, p. 28)"
1. Organizations, including governments, must put a high value on individuals’ privacy and autonomy, including restricting the amount and age of data held about individuals specifically.
1. Education in all forms should encourage individuation, the preservation of autonomy, and knowledge of the appropriate uses and limits to A/IS
1.

## Further Resources- J. J. Bryson, “Artificial Intelligence and Pro-Social Behavior,” in Collective Agency and Cooperation in Natural and Artificial Systems, _C. Misselhorn, Ed., pp. 281–306, Springer,
1. - M. Cooke, “A Space of One’s Own: Autonomy, Privacy, Liberty,” _Philosophy & Social Criticism, _Vol.
25, no. 1, pp. 22–53,
1. - D. Peters, R.A. Calvo, R.M. Ryan, “Designing for Motivation, Engagement and Wellbeing in Digital ExperienceFrontiers in Psychology – _Human Media Interaction
, vol.
1. pp 797,
1. - J. Roughgarden, M. Oishi and E. Akçay, “Reproductive Social Behavior: Cooperative Games to Replace Sexual Selection.” _Science _311, no. 5763, pp. 965–969,
1. "(IEEE, 2019, p.101(

Overarching Principles Respect for persons
Principles Privacy
Title Considerations in assessing trustworthy AI - Respect for privacy and data protection