Browsing by Author "S Golpayegani, Seyedeh Delaram"
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To Be High-Risk, or Not To Be-Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards
S Golpayegani, Seyedeh Delaram; Lewis, David (2023)The EU's proposed AI Act sets out a risk-based regulatory framework to govern the potential harms emanating from use of AI systems. Within the AI Act's hierarchy of risks, the AI systems that are likely to incur "high-risk" ... -
Towards a Taxonomy of AI Risks in the Health Domain
S Golpayegani, Seyedeh Delaram; Hovsha, Joshua (IEEE, 2022)The adoption of AI in the health sector has its share of benefits and harms to various stakeholder groups and entities. There are critical risks involved in using AI systems in the health domain; risks that can have severe, ...