{"attribution":{"source":"AI Incident Database (Responsible AI Collaborative)","license":"CC BY-SA 4.0","license_url":"https://creativecommons.org/licenses/by-sa/4.0/","citation":"McGregor, S. (2021). Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. Proceedings of the AAAI Conference on Artificial Intelligence (IAAI-21).","snapshot_date":"2026-09-07"},"exported_at":"2026-09-11"}
{"rows":[{"incident_id":684,"occurred_on":"2024-04-04","title":"Google Books Appears to Be Indexing Works Written by AI","description":"Google Books is indexing low-quality, AI-generated books, degrading its database and potentially distorting Google Ngram Viewer's analysis of language trends. This integration of inaccurate or misleading information undermines trust, disseminates poor-quality content, and wastes resources as researchers must spend time clearing up the misinformation.","mit_domain":"Misinformation","mit_subdomain":"Pollution of information ecosystem and loss of consensus reality","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Google, Google Books"],"developers":["Google"],"harmed":["Google Books, Google Ngram Viewer, Researchers, General Public"],"report_count":1},{"incident_id":562,"occurred_on":"2022-11-30","title":"Uptick in Low-Quality AI-Produced Content Degraded Publishers' Submission Management","description":"A surge in low-standard AI-generated content such as by ChatGPT was reported by publishers, which negatively impacted submission management process and editors' workflow.","mit_domain":"Misinformation","mit_subdomain":"Pollution of information ecosystem and loss of consensus reality","entity":"Human","intent":"Intentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Openai"],"developers":["Openai"],"harmed":["Publishing Editors, Publishers"],"report_count":1},{"incident_id":202,"occurred_on":"2021-12-06","title":"Korean Politician Employed Deepfake as Campaign Representative","description":"A South Korean political candidate created a deepfake avatar which political opponents alleged to be fraudulent and a threat to democracy.","mit_domain":"Misinformation","mit_subdomain":"Pollution of information ecosystem and loss of consensus reality","entity":"Human","intent":"Intentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Yoon Suk Yeol, Yoon Suk Yeol'S Campaign"],"developers":["Unknown"],"harmed":["General Public Of South Korea"],"report_count":5},{"incident_id":522,"occurred_on":"2019-07-10","title":"Facebook Political Ad Delivery Algorithms Inferred Users' Political Alignment, Inhibiting Political Campaigns' Reach","description":"Facebook's political ad delivery system reportedly differentiated the price of user reach based on their inferred political alignment, inhibiting political campaigns' ability to reach voters with diverse political views,  which allegedly reinforces political polarization and creates informational filter bubbles.\n","mit_domain":"Misinformation","mit_subdomain":"Pollution of information ecosystem and loss of consensus reality","entity":"AI","intent":"Unintentional","timing":"Post-deployment","harm_level":null,"sectors":[],"countries":[],"deployers":["Facebook"],"developers":["Facebook"],"harmed":["Political Campaigns, Facebook Users"],"report_count":1}]}