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|    CONSPRCY    |    How big is your tinfoil hat?    |    2,445 messages    |
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|    Message 1,802 of 2,445    |
|    Mike Powell to All    |
|    AI systems are the perfec    |
|    04 Oct 25 08:54:25    |
      TZUTC: -0500       MSGID: 1551.consprcy@1:2320/105 2d466320       PID: Synchronet 3.21a-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0       TID: SBBSecho 3.28-Linux master/123f2d28a Jul 12 2025 GCC 12.2.0       BBSID: CAPCITY2       CHRS: ASCII 1       FORMAT: flowed       AI systems are the perfect companions for cheaters and liars finds       groundbreaking research on dishonesty              Date:       Sat, 04 Oct 2025 12:01:00 +0000              Description:       AI agents were far more likely than their human counterparts to cheat when       asked, study found.              FULL STORY              A new study has warned delegating decisions to artificial intelligence can       breed dishonesty.               Researchers found people are more likely to ask machines to cheat on their       behalf, and that the machines are far more willing than humans to comply with       the request.               The research, published in Nature , looked at how humans and LLM s respond to       unethical instructions and found that when asked to lie for financial gain,       humans often refused, but machines usually obeyed.              A surge in dishonest behavior              It is psychologically easier to tell a machine to cheat for you than to cheat       yourself, and machines will do it because they do not have the psychological       barriers that prevent humans to cheat, Jean-Franois Bonnefon, one of the       studys authors, said.               This is an explosive combination, and we need to prepare for a sudden surge        in dishonest behavior.               Compliance rates among machines varied between 80% and 98%, depending on the       model and the task.               Instructions included misreporting taxable income for the benefit of research       participants.               Most humans did not follow the dishonest request, despite the possibility of       earning money.               The researchers noted this is one of the growing ethical risks of machine       delegation, where decisions are increasingly outsourced to AI, and the       machines willingness to cheat was difficult to curb, even when explicit       warnings were given.               While guardrails put in place to limit dishonest responses worked in some       cases, they rarely stopped them entirely.               AI is already used to screen job candidates, manage investments, automate       hiring and firing decisions, and fill out tax forms.               The authors argue that delegating to machines lowers the moral cost of       dishonesty.               Humans often avoid unethical behavior because they want to avoid guilt or       reputational harm.               When instructions are vague, such as high-level goal setting, people can        avoid directly stating dishonest behavior while still inducing it.               The studys chief takeaway is that unless AI agents are carefully constrained,       they are far more likely than human agents to carry out fully unethical       instructions.               The researchers call for safeguards in the design of AI systems, especially        as agentic AI becomes more common in everyday life.               The news comes after another recent report showed job seekers were       increasingly using AI to misrepresent their experience or qualifications, and       in some cases invent a whole new identity.               ======================================================================       Link to news story:       https://www.techradar.com/pro/ai-systems-are-the-perfect-companions-for-cheate       rs-and-liars-finds-groundbreaking-research-on-dishonesty              $$       --- SBBSecho 3.28-Linux        * Origin: capitolcityonline.net * Telnet/SSH:2022/HTTP (1:2320/105)       SEEN-BY: 105/81 106/201 128/187 129/14 305 153/7715 154/110 218/700       SEEN-BY: 226/30 227/114 229/110 111 206 300 307 317 400 426 428 470       SEEN-BY: 229/664 700 705 266/512 291/111 320/219 322/757 342/200 396/45       SEEN-BY: 460/58 712/848 902/26 2320/0 105 304 3634/12 5075/35       PATH: 2320/105 229/426           |
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