Users anthropomorphizing, trusting, or relying on AI systems, leading to emotional or material dependence and inappropriate relationships with or expectations of AI systems. Trust can be exploited by malicious actors (e.g., to harvest personal information or enable manipulation), or result in harm from inappropriate use of AI in critical situations (e.g., medical emergency). Overreliance on AI systems can compromise autonomy and weaken social ties.
"People may choose to build connections with human-like AI assistants over other humans, leading to a degradation of social connections between humans and a potential ‘retreat from the real’. The prevailing view that relationships with anthropomorphic AI are formed out of necessity – due to a lack of real-life social connections, for example (Skjuve et al., 2021) – is challenged by the possibility that users may indicate a preference for interactions with AI, citing factors such as accessibility (Merrill et al., 2022), customisability (Eriksson, 2022) and absence of judgement (Brandtzaeg et al., 2022)."Preference for AI-enabled connections, if widespread, may degrade the social connectedness that underpins critical aspects of our individual and group-level well-being (Centers for Disease Control and Prevention, 2023). Moreover, users that grow accustomed to interactions with AI may impose the conventions of human–AI interaction on exchanges with other humans, thus undermining the value we place on human individuality and self-expression (see Chapter 11). Similarly, associations reinforced through human–AI interactions may be applied to expectations of human others, leading to harmful stereotypes becoming further entrenched. For example, default female gendered voice assistants may reinforce stereotypical role associations in real life (Lingel and Crawford, 2020; West et al., 2019)."(p. 103)
Part of Risk of Harm through Anthropomorphic AI Assistant Design
Other risks from Gabriel et al. (2024) (69)
Capability failures
7.3 Lack of capability or robustnessCapability failures > Lack of capability for task
7.3 Lack of capability or robustnessCapability failures > Difficult to develop metrics for evaluating benefits or harms caused by AI assistants
6.5 Governance failureCapability failures > Safe exploration problem with widely deployed AI assistants
7.3 Lack of capability or robustnessGoal-related failures
7.1 AI pursuing its own goals in conflict with human goals or valuesGoal-related failures > Misaligned consequentialist reasoning
7.3 Lack of capability or robustness