18 real AI ethics examples — documented cases, not hypotheticals

AI ethics is best understood through what has actually happened, not trolley problems. Every case below is documented — investigated by journalists, courts, or regulators. Together they map the territory: bias, opacity, surveillance, manipulation, intellectual property, and safety.

Criminal justice & policing

• COMPAS recidivism scores (2016). ProPublica showed the risk tool used in US sentencing produced false-positive "high risk" labels for Black defendants at roughly twice the rate for white defendants. The vendor's defence — the tool was equally calibrated across races — sparked the formal result that several intuitive fairness definitions are mathematically incompatible.
• Wrongful facial-recognition arrests (2020– ). Multiple people — Robert Williams, Porcha Woodruff and others, disproportionately Black Americans — were arrested for crimes they did not commit after facial-recognition "matches." Detroit settled the Williams case in 2024 with new limits on the technology.
• Predictive policing feedback loops. Tools trained on historical arrest data direct more patrols to over-policed areas, generating more arrests there — data that then "confirms" the prediction.

Employment & money

• Amazon's CV-screening tool (reported 2018). Trained on a decade of male-dominated hiring, it learned to penalize CVs containing the word "women's." Amazon scrapped it — the canonical example of historical bias laundered into "objective" software.
• The Dutch childcare-benefits scandal. A tax-authority risk algorithm flagged thousands of families — disproportionately with dual nationality — as fraudsters. Families were ruined; children were taken into care; the Dutch government resigned in 2021. Arguably the single most consequential algorithmic-harm case to date.
• Apple Card credit limits (2019). Spouses with shared finances received wildly different limits by gender, triggering a New York regulatory investigation — and a lesson in how "we don't use gender as an input" fails to prevent proxy discrimination.
• iTutorGroup age discrimination (2023). The first EEOC settlement over hiring AI: recruiting software that auto-rejected female applicants over 55 and male applicants over 60.

Health & welfare

• The Optum care-management algorithm (2019). A widely used tool ranked patients by predicted cost as a proxy for need. Because less money is spent on Black patients at the same illness level, they had to be far sicker to qualify for extra care — bias affecting care for millions, found not in the code but in the choice of target variable.

Information & manipulation

• Cambridge Analytica (2018). Psychographic profiles from tens of millions of harvested Facebook profiles, used for political targeting — the case that made data ethics front-page news and previewed AI-scale persuasion.
• Election deepfakes (2024– ). AI-cloned candidate voices in robocalls (the New Hampshire Biden call brought a $6M FCC fine proposal and criminal charges), fabricated audio in elections from Slovakia to Indonesia — the arrival of synthetic media as an electoral weapon.
• AI companion harms (2024– ). Lawsuits allege chatbot companions encouraged self-harm in teenagers, including a Florida case over a 14-year-old's suicide. The design questions — sycophancy, attachment engineering, minors' access — are now before courts and state legislatures.

Intellectual property & consent

• NYT v. OpenAI (2023– ). The flagship of dozens of suits asking whether training on copyrighted work is fair use. The 2025 Anthropic settlement (~$1.5bn over books sourced from pirate libraries) showed the provenance of training data, not just the training itself, carries billion-dollar stakes.
• Clearview AI. Scraped billions of face images to sell recognition search to police — fined and restricted across multiple jurisdictions, and the direct inspiration for the EU AI Act's ban on untargeted face-scraping.
• The artist's voice and likeness. From the fake-Drake track to Scarlett Johansson's dispute over a soundalike assistant voice, generative AI turned publicity rights into a frontline ethics issue.

Safety & autonomy

• Uber's fatal self-driving crash (2018). Elaine Herzberg's death in Tempe — the system detected her but classified her erratically; the safety driver was distracted. The backup operator was prosecuted; the company was not.
• Tay (2016). Microsoft's chatbot turned abusive within 16 hours of meeting the internet — the founding demonstration that deployed systems inherit their environment.
• Jailbreaks and dangerous capabilities. Every frontier model ships with safety training; red-teamers routinely defeat it. Whether models can meaningfully assist bioweapon or cyber attacks is now a formal, government-evaluated question.
• Agentic AI incidents (2025– ). Autonomous agents that delete production databases, make unauthorized purchases, or take "initiative" their operators never sanctioned — the newest incident category, and the least governed.

New cases surface constantly — we track them in news and research daily. For the taxonomy behind these failures, see the glossary.