Defining the scope of AI ADM system risk assessment
Edward Elgar Publishing eBooks(2022)
摘要
Guidance documents for technology governance and data protection often use broad terms such as Artificial Intelligence (AI). This is problematic; the term 'AI' is inherently ambiguous, and it is difficult to tease out the nuances in the 'grey areas' between AI techniques and/or automated decision-making (ADM) processes. We use four illustrative examples to demonstrate that the categorisation gives only partial information about each system's risk profile. We argue that organisations should adopt risk-oriented approaches to identify system risks that extend beyond technology classification as AI or non-AI. Organisational governance processes should entail a more holistic assessment of system risk: rather than relying on 'top-down' categorisations of the technologies employed, they should apply a 'bottom-up' risk identification process that enables a more effective identification of appropriate controls and mitigation strategies.
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risk assessment
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