Browse AI risks

4 entries

1. 17.03.03 · Risk Sub-Category

   Misinformation Harms

   Leading users to perform unethical or illegal actions

   "Where a LM prediction endorses unethical or harmful views or behaviours, it may motivate the user to perform harmful actions that they may otherwise not have performed. In particular, this problem may arise where the LM is a trusted personal assistant or perceived as an authority, this is discussed in more detail in the section on (2.5 Human-Computer Interaction Harms). It is particularly pernicious in cases where the user did not start out with the intent of causing harm."

   From Ethical and social risks of harm from language models (Weidinger2021)

   Domain 5 5.1 AI Other Post-deployment

2. 17.05.00 · Risk Category

   Human-Computer Interaction Harms

   "Harms that arise from users overly trusting the language model, or treating it as human-like"

   From Ethical and social risks of harm from language models (Weidinger2021)

   Domain 5 5.1 Other Unintentional Post-deployment

3. 17.05.01 · Risk Sub-Category

   Human-Computer Interaction Harms

   Anthropomorphising systems can lead to overreliance or unsafe use

   "...humans interacting with conversational agents may come to think of these agents as human-like. Anthropomorphising LMs may inflate users’ estimates of the conversational agent’s competencies...As a result, they may place undue confidence, trust, or expectations in these agents...This can result in different risks of harm, for example when human users rely on conversational agents in domains where this may cause knock-on harms, such as requesting psychotherapy...Anthropomorphisation may amplify risks of users yielding effective control by coming to trust conversational agents “blindly”. Wher

   From Ethical and social risks of harm from language models (Weidinger2021)

   Domain 5 5.1 Human Unintentional Post-deployment

4. 17.05.02 · Risk Sub-Category

   Human-Computer Interaction Harms

   Creating avenues for exploiting user trust, nudging or manipulation

   "In conversation, users may reveal private information that would otherwise be difficult to access, such as thoughts, opinions, or emotions. Capturing such information may enable downstream applications that violate privacy rights or cause harm to users, such as via surveillance or the creation of addictive applications."

   From Ethical and social risks of harm from language models (Weidinger2021)

   Domain 5 5.1 Other Unintentional Post-deployment

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.