Evaluating personal responsibility factors

Personal responsibility strongly affects whether users accept AI automation. People accept AI sorting emails but want control over medical decisions. The difference comes from how much responsibility they feel.

To evaluate responsibility levels, check if mistakes can be fixed easily. Wrong email labels can be changed anytime. Wrong medical choices might cause permanent harm. Also check who gets blamed when things fail. Users resist automation more when they must explain AI decisions to others.

Ask users these key questions to measure responsibility:

• Can I undo this if AI makes a mistake?
• Do I need to explain this decision to anyone?
• What happens if this goes wrong?
• Am I legally responsible for this choice?

Watch for warning signs like required signatures, professional standards, or decisions affecting other people. Financial advisors use AI for research but personally sign investment recommendations. Parents might use AI to find activities but personally decide what's safe for their children.