Ethical AI, consent and likeness
The ethical questions around AI come back to three old human ideas: asking permission, telling the truth, and respecting a person's face and voice. Many AI systems learned from books, songs, images and conversations whose makers were never asked. Cloning a voice now takes minutes and a few seconds of audio. The habits that protect trust, such as credit, consent and clear labels, have to be rebuilt for a world where almost anything can be copied or imitated at scale. Courts, lawmakers, platforms and artists are building those habits now, unevenly and in real time.
Wonder
Consent that works
Every artist whose work teaches a machine is asked, credited and paid.
30,000+
artists take part in one opt-in licensing program that now shares 25% of net revenue with them. Reported
$22 million
earned by more than 10,400 people who chose to share their voices on one platform by May 2026, by the company's count. Reported
$1.5 billion
court-approved settlement in July 2026 for about 482,000 books an AI company downloaded from pirate libraries, about $3,000 per work before fees. It pays for how the books were obtained. A judge had ruled in 2025 that training on lawfully acquired books was fair use. Anthropic makes Claude, the assistant that helped build this site. Reported
Over 92%
of the time, the free tool Glaze disrupted AI style mimicry in its developers' tests with more than 1,000 artists. An independent 2025 study found that simple techniques can get around this kind of protection. Measured
10 billion
pieces of AI-generated content had been watermarked by Google's SynthID by May 2025, by the company's own count. Reported
It takes Licensing that reaches the individual creator, and labels that travel with the work.
Worry
Consent, honesty, likeness
73%
of adults in an 8-country survey say it is unethical for AI firms to use copyrighted music without the artist's approval. Survey
Up to 85%
of streams on fully AI-generated tracks on Deezer were fraudulent in 2025, by the company's own detection. Measured
1 in 8
US young people aged 13 to 20 personally know someone targeted by deepfake nudes. Survey
28% or more
of the most actively maintained sources in one major AI training dataset came to block AI crawlers through robots.txt between April 2023 and April 2024. Such rules work only if crawlers respect them. Measured
4 of 6
popular voice-cloning products had no technical way to confirm the speaker's consent and relied only on a checkbox, in a March 2025 assessment. Measured
0 of 8
major social platforms kept the Content Credentials on an AI-generated video in an October 2025 newspaper test. Only one flagged it, with a label that did not mention AI. Reported
What is being done
A court has ruled on memorized lyrics.
In November 2025 a Munich court ruled at first instance that OpenAI infringed copyright because its models had memorized the lyrics of nine German songs, and that the EU text-and-data-mining exception did not cover this. OpenAI has reportedly appealed, so the ruling is not final.
For artists and musicians
A collective licence that pays songwriters.
In September 2025 Sweden's STIM, which represents more than 100,000 songwriters, composers and publishers, launched what it calls the world's first collective AI music licence. It pays for both training and AI outputs, uses attribution technology from Sureel, and has the startup Songfox as its first licensee. No payout figures have been published yet.
An open question
If a model learns from someone's work without copying it, does it owe that person anything, and how would anyone measure the debt?
This page does not list everything. Last reviewed October 11, 2026.
- Measured counted or experimental data
- Survey what people report or believe
- Estimate a judgment or model, often a company's own
- Forecast a projection of the future
- Reported a company's, agency's or journalist's own account