Risks Of AI Influencing Emotions
==When AI systems are designed to influence emotions or manipulate behaviour, the report identifies risks to autonomy, meaningful consent, privacy, trust, and fairness, especially when these systems are embedded in at...
==When AI systems are designed to influence emotions or manipulate behaviour, the report identifies risks to autonomy, meaningful consent, privacy, trust, and fairness, especially when these systems are embedded in attention hungry digital environments or aimed at vulnerable users such as children.[:cite[3]{ln=1}][:cite[3]{ln=4}][:cite[1]{ln=1}][:cite[1]{ln=4}][:cite[2]{ln=2}][:cite[2]{ln=6}]== Main risks == Behavioural manipulation :== The report says AI now helps companies not only predict future actions but also “capture our attention and influence our behavior,” which means these systems can be used to steer decisions rather than merely respond to them.[:cite[3]{ln=4}] The report also says AI is part of a wider technological environment in which “code” shapes human behaviour and society.[:cite[4]{ln=4}][:cite[4]{ln=7}] == Exploitation of cognitive biases :== In the report’s discussion of design and manipulation, dark patterns are described as deliberately manipulating users by nudging them toward specific actions, exploiting cognitive biases through choice framing, using clickbait and fake reviews, adding addictive features, and using timers to provoke anxiety driven decisions.[:cite[1]{ln=1}][:cite[1]{ln=4}] The report adds that such addictive experiences can keep users engaged despite costs to privacy.[:cite[5]{ln=1}][:cite[5]{ln=4}] == Erosion of meaningful consent :== The report links manipulative design directly to weakened consent.[:cite[6]{ln=1}][:cite[6]{ln=3}] It says stronger consent would require designs that improve user comprehension, feedback, interrogation, and interaction, but that such practices conflict with prevailing monetisation incentives.[:cite[6]{ln=1}][:cite[6]{ln=3}] It also says consent regimes are functionally undermined by interface friction that encourages users to “click away their rights” out of irritation.[:cite[7]{ln=1}][:cite[7]{ln=3}] In adjacent discussion, the report notes that people often unknowingly accept broad data sharing terms simply to access online services.[:cite[8]{ln=1}][:cite[8]{ln=3}] == Loss of privacy and practical autonomy :== The report says advances in AI have made it nearly impossible for individuals to control public and private boundaries, while opaque models and data flows render people “functionally powerless” through dependence on AI enabled products and services.[:cite[9]{ln=1}][:cite[9]{ln=4}] It also says that as AI becomes embedded in everyday life, people are less aware of privacy choices in real time, “if at all.”[:cite[10]{ln=1}][:cite[10]{ln=3}] == Undue influence over children and other vulnerable users :== The report’s discussion of emotional AI is especially direct here.[:cite[2]{ln=1}][:cite[2]{ln=6}] It says these systems are designed to “recognise, respond to and influence” a user’s emotional state, are not always targeted at adults, and may be marketed to children as toys or companions.[:cite[2]{ln=2}][:cite[2]{ln=4}] It further warns that legal loopholes can give such systems “undue and unregulated access and influence over children’s emotional state.”[:cite[2]{ln=5}][:cite[2]{ln=6}] The report also says highly anthropomorphic chatbot and companion systems create a concerning design dynamic when used by vulnerable people.[:cite[11]{ln=1}][:cite[11]{ln=2}] == Exposure of intimate or protected characteristics :== The report says longer term use of emotional AI can enable detection of indicators of sexuality, gender identity, and other intimate data.[:cite[12]{ln=1}][:cite[12]{ln=2}] That creates a risk that emotional influence systems do not just affect users’ feelings, but also infer deeply sensitive traits from interaction patterns.[:cite[12]{ln=1}][:cite[12]{ln=2}] == Risks in sensitive settings such as mental health and healthcare :== The report says AI use in mental health requires processing, storing, and analysing highly sensitive personal and behavioural data, and it warns that the rush to deploy such systems should be approached with caution.[:cite[13]{ln=3}][:cite[13]{ln=4}] It also says these deployments raise concerns about patient data governance, transparency in decision making, and the preservation of trust and autonomy.[:cite[14]{ln=1}][:cite[14]{ln=4}] == Bias, opacity, and overreliance :== In healthcare discussion relevant to emotion oriented and behaviour shaping systems in sensitive domains, the report says policymakers must address privacy, new biases, erosion of trust, and autonomy concerns.[:cite[15]{ln=1}][:cite[15]{ln=5}] It adds that opaque “black box” systems make it difficult for professionals to understand or verify recommendations.[:cite[16]{ln=1}][:cite[16]{ln=3}] The report also warns that highly reliable AI can diminish human autonomy by making professionals hesitant to override machine outputs, leading to troubling overreliance on technology.[:cite[17]{ln=4}][:cite[17]{ln=7}] Bottom line ==The repor...