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How to Build Trustable AI Advancing Beyond GenAI-LLMs that Cheat, Deceive, and Manip. . .

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Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7206782084093198336

How to Build Trustable AI Advancing Beyond GenAI-LLMs that Cheat, Deceive, and Manipulate: 2024 New York State Capitol Conference:
SSRN Download PDF https://lnkd.in/e9-2fPdF
YouTube Video: https://lnkd.in/eVZmjeHk

How to Measure Degrees of #AgenticBehavior of #AI #Agents:
Andrew Ng: Rather than having to choose whether or not something is an #agent in a binary way, I thought, it would be more useful to think of #systems as being agent-like to different #degrees.:
https://lnkd.in/e8Fe8JrD

Concerns about #Agents articulated under the #AgencyTheory – a formal field of #ManagementControl Systems in applied #Business-#Accounting-#Economics #IT [focus of my AI-KM-Controls-Quant Methods PhD] – such as #Shirking & #Cheating – which led to preference for #AI over #Humans [as AI was thought to have no such concerns given its #Controlled #Compliance] are now equally applicable to #GenAI given increasing evidence of #Deception, #Manipulation, #Cheating by #GenAI-#LLMs despite lack of #Volition.

In that Agency sense, GenAI is Human-Like!

#Modeling-#Measures of #Autonomy-#Control of #AI #Compliance:
For Building #TrustableAI and #ResponsibleAI, can such #Agency #measures be generalized to modeling Human-AI Agents:

Measures of ‘Degrees’ of [+ve and -ve] Agentic ‘Behaviors’ distinguishing #Compliance, #Identification & #Internalization #Commitment and #Internal, #Introjected & #External #PLOC (#Perceived #Locus of #Causality) #Motivation developed in our earlier Models published in refereed research journals are adopted-applied by organizations such as NASA and Big Banks:

#Compliance is NOT #Volitional-#SelfDetermined #Commitment!:
https://lnkd.in/gpVB-RzQ

#Human-#AI #Systems R&D: Agents, Controls, Compliance:
https://lnkd.in/epx6zV3

Second , Mathematical Statistical Mis-#measure of #WhatIsHuman, first being Assumption of #Correlation as #Causation:

#Volition: Distinguishes #Humans from #AI #Machines and is central to #Success of #Human-#Artificial #Intelligence #Systems:
https://lnkd.in/exujCAKH

We formally analyzed both #Human #Intelligence #Systems and #Artificial #Intelligence #Systems as #KnowledgeManagement (KM) Systems given our Self-Adaptive Complex Systems focus inspired by #GeneticAlgorithms-AI R&D from Santa Fe Institute in 1990s.
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We Create the Digital Future™. You Can Too! Let’s Show You How!
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C4I-Cyber™: C4I-Cyber.com: Because the Future of the World Depends Upon It™
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Silicon Valley’s Next Big Thing™: CEO-CTO-CFO Know-Build-Monetize™ Networks: Join The CxO Metaverse™

C4I-Cyber Quantum Valley-SiliconValley Digital Pioneer USAF-USSF Ventures Engineering Sustainability

How to Build Trustable AI Advancing Beyond GenAI-LLMs that Cheat, Deceive, and Manipulate: 2024 New York State Capitol Conference: | Dr. Yogesh Malhotra
How to Build Trustable AI Advancing Beyond GenAI-LLMs that Cheat, Deceive, and Manipulate: 2024 New York State Capitol Conference: | Dr. Yogesh Malhotra
How to Build Trustable AI Advancing Beyond GenAI-LLMs that Cheat, Deceive, and Manipulate: 2024 New York State Capitol Conference: SSRN Download PDF https://lnkd.in/e9-2fPdF YouTube Video: https://lnkd.in/eVZmjeHk How to Measure Degrees of #AgenticBehavior of #AI #Agents: Andrew Ng: "Rather than having to choose whether or not something is an #agent in a binary way, I thought, it would be more useful to think of #systems as being agent-like to different #degrees.": https://lnkd.in/e8Fe8JrD Concerns about #Agents articulated under the #AgencyTheory - a formal field of #ManagementControl Systems in applied #Business-#Accounting-#Economics #IT [focus of my AI-KM-Controls-Quant Methods PhD] - such as #Shirking & #Cheating - which led to preference for #AI over #Humans [as AI was thought to have no such concerns given its #Controlled #Compliance] are now equally applicable to #GenAI given increasing evidence of #Deception, #Manipulation, #Cheating by #GenAI-#LLMs despite lack of #Volition. In that Agency sense, GenAI is Human-Like! #Modeling-#Measures of #Autonomy-#Control of #AI #Compliance: For Building #TrustableAI and #ResponsibleAI, can such #Agency #measures be generalized to modeling Human-AI Agents: Measures of 'Degrees' of [+ve and -ve] "Agentic" 'Behaviors' distinguishing #Compliance, #Identification & #Internalization #Commitment and #Internal, #Introjected & #External #PLOC (#Perceived #Locus of #Causality) #Motivation developed in our earlier Models published in refereed research journals are adopted-applied by organizations such as NASA and Big Banks: #Compliance is NOT #Volitional-#SelfDetermined #Commitment!: https://lnkd.in/gpVB-RzQ #Human-#AI #Systems R&D: Agents, Controls, Compliance: https://lnkd.in/epx6zV3 Second , Mathematical Statistical Mis-#measure of #WhatIsHuman, first being Assumption of #Correlation as #Causation: #Volition: Distinguishes #Humans from #AI #Machines and is central to #Success of #Human-#Artificial #Intelligence #Systems: https://lnkd.in/exujCAKH We formally analyzed both #Human #Intelligence #Systems and #Artificial #Intelligence #Systems as #KnowledgeManagement (KM) Systems given our Self-Adaptive Complex Systems focus inspired by #GeneticAlgorithms-AI R&D from Santa Fe Institute in 1990s. -- New York State: "Join Dr. Yogi Malhotra to get up to speed on Cloud Technology." USAF-AFRL Ventures: "Do Something Epic: Save the World™": We Create the Digital Future™. You Can Too! Let's Show You How! AIMLExchange™: AIMLExchange.com: We Create the Digital Future™ BRINT™: BRINT.com: From Future of Finance™ to Future of Defense™ C4I-Cyber™: C4I-Cyber.com: Because the Future of the World Depends Upon It™ -- AWS-Quantum Valley Building the Future of AI-Quantum Networks: Global Risk Management Network LLC-NY Silicon Valley's Next Big Thing™: CEO-CTO-CFO Know-Build-Monetize™ Networks: Join The CxO Metaverse™ C4I-Cyber Quantum Valley-SiliconValley Digital Pioneer USAF-USSF Ventures Engineering Sustainability
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Global Post AI-Quantum Finance & Trading Networks Pioneer Dr.-Eng.-Prof. Yogesh Malhotra is the “Singular Post AI-Quantum Pioneer” identified by Grok AI with R&D impact recognized among Artificial Intelligence (AI) and Quantitative Finance Nobel Laureates. As MIT-Princeton AI-ML-Cyber-Crypto-Quantum Finance & Trading and FinTech-Crypto Faculty-Industry Expert, and U.S. and Global Hedge Funds Advisory & Venture Capital CEO-CTO Teams Mentor, he has pioneered Silicon Valley-Wall Street-Pentagon Digital CEO-CTO Practices, Technologies, and Networks from world’s first-foremost-largest Global Digital Transformation Networks to New York State IDEA Award recognized Pentagon-USAF MVP Global Post AI-Quantum Networks pioneering Future of Finance and Trading practices as Trillion-Dollar Wall Street Hedge Funds and Investment Banks leader.