Research and advocacy citations and mentions
The AIAAIC Repository is regularly cited and mentioned by academic, non-profit, government, and commercial research institutes, associations, and agencies.
Below is a selection of recent reports and studies. You can find media coverage here.
2023
Zhan X., Sun H., Miranda S.M. How Does AI Fail Us? A Typological Theorization of AI Failures
Tanriverdi H., Akinyemi J-P., Neumann T. Mitigating Bias in Organizational Development and Use of Artificial Intelligence
Wingard E., Oswego S. The Impact of Biases in Facial Recognition Artificial Neural Networks
Castelonovo A., et al. Fair Enough? A map of the current limitations of the requirements to have “fair” algorithms
Bondi-Kelly E. et al. Taking Off with AI: Lessons from Aviation for Healthcare
Kahdan M., et al. Navigating Uncertain Waters: How Organizations Respond to Institutional Pressure in Times of the Looming EU AI Act
Farlow F., et al. The Race to Robustness: Exploiting Fragile Models for Urban Camouflage and the Imperative for Machine Learning Security
Buttol V. Ethical implications of artificial intelligence: the relationship between algorithms and kindness
Xu W., Gao Z. Enabling Human-Centered AI: A Methodological Perspective
Westminster Foundation for Democracy. A democratic approach to global artificial intelligence safety
Bommasani R., Klyman K., Longpre S., Kapoor S., Maslej N., Xiong B., Zhang D., Liang P. The Foundation Model Transparency Index (pdf)
Keeley N.G. Cash, Credibility, and Conversion: The Influence of Synthetic Media on Investment Behavior
Ariffin A.S., Kamaruddin N.H., Juhari M.R.M., Jamil E.M., Dolah R., Muhtazaruddin M. N. The Reliability, Safety, and Control Principle on Recognition of Facial Expression Through Deep Learning to Support Responsible AI Implementation Policy
Trần Khánh Lâm. Đạo đức nghề nghiệp kế toán: Xây dựng khung quy định trong thời đại công nghệ mới bùng nổ
Arora A. et al. Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization
Ruttkamp-Bloem E. Intergenerational Justice as Driver for Responsible AI
Hao-Ping (Hank) Lee et al. Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks (pdf)
Groza A., Marginean A. Brave new world: Artificial Intelligence in teaching and learning
Digital Rights Foundation. The Machine is rigged – a deep dive into AI-powered screening systems and the biases they perpetuate
IAPP. AI incident response plans: Not just for security anymore
Ramírez Sánchez A.M., Bhatia I., Firmino Pinto S. Navigating Artificial Intelligence from a Human Rights Lens (pdf)
Burema D., Debowski-Weimann N., von Janowski A., Grabowski J., Maftei M., Jacobs M., van der Smagt P., Benbouzid D. A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral context
Australian Strategic Policy Institute. Is artificial intelligence about to be regulated?
Data & Society. Algorithms’ Transparency Problem is Everyone’s Problem
Turri D., Dzombak R. Why We Need to Know More: Exploring the State of AI Incident Documentation Practices
Boyle K., Berridge S. The Routledge Companion to Gender, Media and Violence
IRPA. Un repository indipendente di incidents legati a sistemi di Intelligenza artificiale
Shoker S, et al. Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings
Gabríela Ósk Vignisdóttir. Balancing legal liability and AI innovation: assessing the possible impact of the proposed AI liability directive
Farlow H., Garratt M. et al. The race to robustness: Exploiting fragile models for urban camouflage and the imperative for machine learning security
Happe A., Cito, J. Getting pwn'd by AI: Penetration Testing with Large Language Models
Attard-Frost B., Widder D.G. The Ethics of AI Value Chains: An Approach for Integrating and Expanding AI Ethics Research, Practice, and Governance
Cupertino R.T. Impactos da Inteligência Artificial na economia mundial
McKinsey & Co. Technology Trends Outlook 2023
Common Sense. AI and Our Kids: Common Sense Considerations and Guidance for Parents, Educators, and Policymakers 2023 (pdf)
Center for Security and Emerging Technology. Adding Structure to AI Harm
Lucaj J., van der Smagt P., Benbouzid D. AI Regulation Is (Not) All You Need
Calvara R. Un repository indipendente di incidents legati a sistemi di Intelligenza artificiale
Bussell D., Larson A. Scaffolding the Open: Transforming an International Studies Course using Open Pedagogy
Keeley N.G. Cash, Credibility, and Conversion: The Influence of Synthetic Media on Investment Behavior
Martelaro N., Smith C.J., Zilovic T. Exploring Opportunities Usable Hazard Analysis Processes for AI Engineering
Bode I., Huelss H., Nadibaidze A. Written Evidence to House of Lords AI in Weapons Systems Select Committee (AIW0015)
Zowghi D., da Rimini F., Diversity and Inclusion in Artificial Intelligence (pdf)
Lupo G. Risky Artificial Intelligence: The Role of Incidents in the Path to AI Regulation
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
Carmichael Z. Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
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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