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AI Safety, Alignment & Ethics

⏱ About 15 min15 XP

Consent and Other People's Data

Imagine a friend takes a photo of you at a party looking silly and posts it online without asking. Now imagine an AI uses that photo to create a fake video of you saying things you never said. Both situations involve your image and identity being used without your permission. The first is rude. The second is potentially harmful and in many places illegal. Both involve the same core ethical problem: consent was not given.

What Consent Means

Consent means permission freely given, by someone with enough information to understand what they are agreeing to. Three parts of that definition matter. Freely given means not coerced or pressured. If someone only agreed because they felt they had no choice, that is not real consent. By someone with enough information means the person knows what they are consenting to — not a vague 'we may use your data in various ways' buried on page 47 of a terms of service document. With understanding means the person genuinely grasps what they approved. A 10-year-old clicking 'I agree' on a legal document does not constitute informed consent. In everyday life: if you want to post a photo of a friend online, ask first. That is consent. If you want to tag someone's location, ask first. If you want to train an AI on someone else's writing samples, you need their permission.

Consent Is Not Default

In ethical data use, consent is not assumed — it is obtained. The burden is on the person who wants to use the data to get permission, not on the data subject to refuse. If you are not sure whether someone has consented, assume they have not.

Facial Recognition and the Consent Problem

Facial recognition is an AI technology that identifies individuals from photos or video. It is used in phone unlocking, airport security, and law enforcement. It also raises one of the most acute consent problems in modern AI. When a tech company trains a facial recognition model, it needs millions of labeled photos. Many early systems trained on photos scraped from the internet — photos that people posted of themselves or their families without ever imagining they were contributing to a facial recognition database. Those people did not consent to their faces being used that way. Several cities have banned or restricted facial recognition in public spaces for this reason. The technology is capable. The consent question is unresolved.

Deepfakes and Digital Identity

A deepfake is a realistic AI-generated video or audio recording in which a real person appears to say or do something they never actually said or did. Early deepfakes required expert knowledge to create. Today, free apps can create convincing deepfakes from a handful of photos. The ethical problem is clear: a deepfake uses a real person's identity without consent and can spread false impressions of their words, actions, or character. Deepfakes have been used to create nonconsensual intimate images, spread political disinformation, and harass individuals. Using, sharing, or creating deepfakes of real people without their consent is a serious ethical violation, and in many jurisdictions it is increasingly illegal.

Deepfakes Cause Real Harm

A deepfake is not harmless digital fun. It can destroy a person's reputation, damage their relationships, and cause lasting psychological harm. The fact that something is technically easy to make does not make it ethical to create or share.

Match each consent-related scenario to the correct ethical label.

Terms

Asking a friend before posting their photo online
Scraping public photos to train an AI without the subjects' knowledge
A terms of service that buries data-sharing in fine print
Creating a deepfake video of a classmate as a prank
Sharing your own photo with an AI app you chose and understand

Definitions

Inadequate informed consent — people cannot consent to what they do not understand
Valid self-consent — you have authority over your own image and made an informed choice
Serious ethical violation — uses identity without consent and can cause real harm
Obtaining consent — ethical use of another person's image
Consent violation — people did not agree to this use of their images

Drag terms onto their definitions, or click a term then click a definition to match.

Which three conditions must be present for consent to be genuine?

Why did early facial recognition systems raise consent concerns?

Consent Scenarios — Judge the Case

  1. Step 1: Read each of these five scenarios and write one sentence judging whether consent was properly obtained and why.
  2. Scenario A: A school uses students' written essays to train an AI writing assistant used by future classes. Parents were sent a newsletter mentioning 'educational data may be used to improve school tools.'
  3. Scenario B: A photographer posts her own portfolio online and an AI art company scrapes it to train a style-imitation model.
  4. Scenario C: A student asks her friend if she can use a funny photo of him as her phone wallpaper (private, never shared). He says yes.
  5. Scenario D: A sports app asks for your location 'to show nearby fields' but also sells location data to advertisers. The permission is buried in the privacy policy.
  6. Scenario E: A news website asks visitors before using any cookies beyond what is strictly necessary to run the site.
  7. Step 2: For the two scenarios you judged as consent violations, propose one change that would fix the consent problem.
  8. Step 3: Discuss with a partner: which scenario was hardest to judge? Why?