Concern 616 · Working draft · editorial review in progress
Consent to automated decisions
Meaningful choice about automated decisions is missing when people cannot understand or reasonably influence how AI is used to judge them.
Understanding the concern
A person may encounter AI in lending, hiring or public services without a clear explanation. Clicking a general agreement does not necessarily mean they understood a consequential automated decision. The concern is whether they can know what is happening and exercise relevant rights or alternatives.
Legal requirements vary, and consent is not the only possible lawful basis for processing data. The EU GDPR provides specific protections under defined conditions. Beyond a checkbox, organizations can explain the decision process, provide contact routes and avoid presenting optional automation as unavoidable. A useful explanation tells the person what they can actually do next.
An example
An applicant learns only after rejection that an automated process played a decisive role.
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.
- GDPR
- The European Union's General Data Protection Regulation, a law about personal data. Specific duties and rights depend on the situation.
- EU
- The European Union, a group of European countries with shared institutions and some shared laws.
Evidence and its limits
The sources explain EU protections with conditions and exceptions. This entry does not claim that every automated decision legally requires consent.
European Data Protection Board · Regulatory explainer
Respect individuals' rights ↗ (opens in a new tab)EU GDPR rights have conditions and exceptions; not a universal right to human review for every algorithmic output.
European Data Protection Board · 2023 · Regulatory guidance
Guidelines on deceptive design patterns in social media platform interfaces ↗ (opens in a new tab)EU data-protection interface guidance; applies as a design framework, not a finding against a particular AI onboarding flow.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
What should a person be told before an automated process makes a consequential judgment about them?
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.
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?
Seeing potential
Seeing potential means recognizing people's capacity to learn, contribute, and grow. It resists reducing someone to a score or to the tasks a machine can perform faster.
Use tools to support people's development. Give learners time, feedback, and real opportunities to practice. A prediction about someone's performance should not close off their future.
Ask together: How could this help people develop abilities they value?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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