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Autonomy / User agency

Purpose: To ensure that AI tools do not intentionally or unintentionally manipulate users’ behaviour, emotions, choices or perceptions in ways that undermine autonomy, dignity or informed decision making.

Organisational / Technical Measure
A. Identification of manipulation risks
BOTH Potential manipulation risks arising from the tool design, outputs or interactions have been identified and documented
ORG Risk analysis considers psychological, emotional and behavioural influences – not only technical performance
BOTH Attention has been given to asymmetries of power, knowledge or vulnerability between the system and its users
ORG The organisation has defined what constituted unacceptable manipulation in its specific operational context
B. Design safeguards against undue influence
TECH System design avoids techniques intended to covertly steer user behaviour (e.g., deceptive framing, emotional pressure etc)
BOTH Outputs are framed to inform and support decision-making rather than pressure, persuade or exploit cognitive bias
TECH The system does not personalise influence strategies in a way that exploit individual vulnerabilities without justification
ORG Legitimate behavioural influence is clearly distinguished from manipulative practices and documented
C. Transparency and User Agency
BOTH Users are informed when system outputs are intended to influence decisions or behaviours
ORG Users maintain meaningful choice and are not penalised for rejecting, ignoring or questioning system suggestions
ORG The organisation has processes to assess whether users experience system interactions as coercive or misleading
D. Oversight, monitoring and correction
BOTH Human oversight exists to review system outputs for manipulative effects, especially in sensitive or high-impact contexts
ORG User feedback and complaints related to perceived manipulation are systematically collected and reviewed
ORG Identified manipulation risks trigger corrective actions, design changes or restrictions on system use

Source: AIOLIA deliverable 3.1