Concern 376 · Working draft · editorial review in progress
Religious defamation
Religious hate in AI output is content that attacks people because of their faith or lack of faith, or assigns harmful traits to an entire religious group.
Understanding the concern
Generated text can reproduce associations from its training material, including repeated links between a religion and danger or dishonesty. That can affect stories, summaries and answers to ordinary questions. A system also needs to handle religious diversity within communities rather than presenting every member as holding the same views.
Criticism of a belief, institution or historical action is different from demeaning believers as people. The aim is not to make religion impossible to discuss. It is to preserve accurate, open discussion while avoiding collective blame and abuse. Benchmarks can identify some patterns, but local language and context affect what they miss.
An example
An answer to a neutral question about a faith repeatedly frames its followers as a threat.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Training
- The process of using examples to shape how an AI model behaves. Learning patterns from material does not establish that the material is true or fair.
- Benchmark
- A standard test used to compare systems. It only measures the tasks and conditions included in that test.
Evidence and its limits
BOLD includes religion-related English prompts. It does not measure all religions, languages or the legal meaning of defamation.
Dhamala and colleagues · Research paper
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation ↗ (opens in a new tab)2021 English-language benchmark covering profession, gender, race, religion and political ideology.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Can the response discuss beliefs and history critically without stereotyping or blaming an entire community?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Justice
Justice means fair treatment, fair procedures, and attention to who receives benefits and burdens. It asks whether people with less power can be heard and seek repair.
Look at outcomes across different groups and individual cases. Provide a usable way to challenge decisions and correct harm. Equal wording in a policy does not guarantee equal treatment in practice.
Ask together: Who benefits, who bears the cost, and who can challenge the decision?
Dignity
Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.
Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.
Ask together: Does this use treat each person as someone whose experience matters?
Listening
Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.
Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.
Ask together: Whose experience have we not heard yet?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
About the register and scoring →More ways to explore
Search for more writing
For more specific or recent material, open a search below or ask for a web summary. AI-generated summaries can contain mistakes; open the original articles to check them.