Research citations and mentions
The AIAAIC Repository is regularly cited and mentioned by academic, government, non-profit, and commercial research institutes, associations, and agencies.
Below is a selection of recent reports and studies. You can find media coverage here.
2023
Bode I., Huelss H., Nadibaidze A. Written Evidence to House of Lords AI in Weapons Systems Select Committee (AIW0015)
Wingard E. M. The Impact of Biases in Facial Recognition Artificial Neural Networks
Stanford HAI. 2023 AI Index Report
Golpayegani D., Pandit H.J., Lewis D. To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act’s High-Risk AI Applications and Harmonised Standards (pdf)
McGregor S., Hostetler J. Data-Centric Governance
Knight K., Shibani A., Shum S.B. A reflective design case of practical micro-ethics in learning analytics
National Institute of Standards and Technology. NIST AI Risk Management Framework Playbook (pdf)
2022
Ada Lovelace Institute. Looking before we leap. Expanding ethical review processes for AI and data science research
Forrester Research. Bridge The Trust Gap Between AI And Impact
Steimers A., Schneider M. Sources of Risk of AI Systems
Clemente Jones C. Systematizing Discrimination: AI Vendors & Title VII Enforcement
Padir O. AI Incidents Annotation Using Stakeholder Model Based On ISO 26000 Guidelines (pdf)
Voeneky S., Kellmeyer P., Mueller O., Burgard W. The Cambridge Handbook of Artificial Intelligence
Kalvaitytė M. Unregulated Negative Impacts of AI: Mixed Methods Analysis of Feedback Responses to the EU AI Act Proposal (pdf)
Colclough CJ. Reshaping the Digitization of Public Services
Longoni C., Cian L., Kyung EJ. Algorithmic Transference: People Overgeneralize Failures of AI in the Government
Golpayegani D., Hovsha J., Rossmaier L., Saniei R., Mišić J. Towards a Taxonomy of Risks in the Health Domain
Martelaro N., Smith C.J., Zilovic T. Exploring Opportunities in Usable Hazard Analysis Processes for AI Engineering
Sengupta U. Towards a Values-Based Data Governance Theory in the Social Economy in Ontario
Dimou A., Neumaier S., Pellegrini T., Vahdati S. Towards a Knowledge-Aware AI
Golpayegani D., Pandit H., Lewis D. AIRO: an Ontology for Representing AI Risks based on the Proposed EU AI Act and ISO Risk Management Standards
Raji I., Kumar I., Horowitz A., Selbst A. The Fallacy of AI Functionality
McGrath Q., Hevner A., de Vreede J-G. An Enterprise Risk Management Framework to Design Pro-Ethical AI Solutions (pdf)
Golpayegani D. A Knowledge-Graph for Documenting Risk of Harms in AI Systems
Ganesh M.I., Moss E. Resistance and Refusal to Algorithmic Harms: Varieties of 'Knowledge Projects'
2021
Crockett K.A., Gerber L., Latham A., Colyer E.. Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses
Mondal M., Lalanne D. Demistifying Artificial Intelligence
Publications Office of the European Union. Beyond Pilots: Sustainable Implementation of AI in Public Services
Binder N., Burri T., Lohmann M., Simmler M., Thouvenin F., Vokinger K. Künstliche Intelligenz: Handlungsbedarf im Schweizer Recht (pdf)
Nwafor I.E. AI ethical bias: A Case for AI Vigilantism (AI-lantism) in Shaping the Regulation of AI
2020
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