Emerging cybersecurity, privacy, and IT failure risks of Artificial intelligence (AI) threaten AI’s business value potential and performance of organizations that develop and use AI. Current research on mitigations for these AI risks is limited to technical and data science level mitigations. There is limited research on organizational mitigations for AI risks. We address this gap by framing organizational mitigations for AI’s cybersecurity, privacy, and IT failure risks and test their effectiveness in a sample of 498 AI algorithms. Developer organizations, which design AI, and user organizations which use AI, are able to reduce the likelihood and the impact of AI’s cybersecurity breach, privacy breach, and IT failure risks if they collaborate to jointly institute organizational mitigations over AI’s risks.
Tanriverdi, Hüseyin and Akinyemi, John-Patrick O., "Effectiveness of Organizational Mitigations for Cybersecurity, Privacy, and IT Failure Risks of Artificial Intelligence" (2023). WISP 2023 Proceedings. 9.