Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7205403085483982848
Download 700-Slide Deck: National Academy of Sciences: On Scientific Integrity of Generative AI Serious Risks: #AI #Systems #Lie & #Deceive: https://lnkd.in/eYq_UvMD : 2024 New York State Capitol Conference:
SSRN Download PDF https://lnkd.in/e9-2fPdF
YouTube Video: https://lnkd.in/eVZmjeHk
#GPT- 4, for instance, exhibits #deceptive #behavior in simple test scenarios 99.16% of the time.: https://lnkd.in/e3BEdfcG .
Protecting #scientific #integrity in an age of #generative #AI: https://lnkd.in/eeCTBaAx : #GenerativeAI’s power to interact with #scientists in a natural manner, to perform unprecedented types of problem-solving, and to generate novel ideas and content poses #challenges to the long-held #values and #integrity of #scientific #endeavors. These challenges make it more difficult to 1) understand and #confirm the #veracity of generated content, reviews, and analyses; 2) maintain #accurate #attribution of machine- versus human-authored analyses and information; 3) #ensure #transparency and #disclosure of uses of AI in producing research results or textual analyses; 4) #enable the #replication of studies and analyses; and 5) #identify and #mitigate #biases and #inequities introduced by #AI #algorithms and #training #data.
National Academy of Sciences: #Deception #abilities emerged in LLMs: https://lnkd.in/e6m9WjAt : This study unravels a #concerning #capability in #LargeLanguageModels (LLMs): the ability to understand and induce deception strategies. The paper demonstrates LLMs’ potential to #create #false #beliefs in other #agents within deception scenarios, highlighting a #critical #need for #ethical #considerations in the ongoing #development and #deployment of such advanced #GenAI #systems.
#AI #deception: A survey of #examples, #risks, and potential #solutions: https://lnkd.in/ec46hybm : #AI #systems are already capable of deceiving humans. #Deception is the systematic inducement of #false #beliefs in others to accomplish some outcome other than the #truth. GenAI-LLMs have already learned, from their training, the ability to #deceive via #techniques such as #manipulation, #sycophancy, and #cheating the #safety #test. AI’s increasing capabilities at deception pose #serious #risks, from short-term risks, such as #fraud and #election #tampering, to long-term risks, such as #losing #control of #AI #systems. #Proactive #solutions are needed, such as #regulatory #frameworks to assess AI deception risks, #laws requiring transparency in #AI #interactions, and R&D into #detecting and #preventing #AI #deception. Proactively address AI deception to ensure that AI augments rather than destabilizes human knowledge, discourse, and institutions.
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