Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A7204976349986385920
GenAI Doesn’t Have Free Will and WHY That Matters: Download 700-Slide Deck: 2024 New York State Capitol Conference:
SSRN Download PDF https://lnkd.in/e9-2fPdF
YouTube Video: https://lnkd.in/eVZmjeHk
#Compliance: The Second #Mathematical #Statistical #Mismeasure of #WhatIsHuman, next to #Assumption of #Correlation as #Causation:
#FreeWill: ‘the “real debate” should be about “free will”’: https://lnkd.in/g5vncWkw
That’s what Distinguishes #Humans from #AI #Machines and is central to #Success or #Failure of ALL #Human-#Artificial #Intelligence #Systems:
#Compliance is NOT #Volitional-#SelfDetermined #Commitment!: https://lnkd.in/gpVB-RzQ : For R&D ranked for impact among Nobel Laureates, see, e.g., Full-Text PDF downloads: https://lnkd.in/epx6zV3:
It is about #VOLITION, essence of #BeingHuman and #HumanBeing: My #Construct of Discussion with #Editors of #InformationSystems #Journals in early 1990s:
Princeton University #Princeton #Presentations on #AI & #Models #RiskManagment-#Controls in #Quant #Finance & #Trading: https://lnkd.in/gcp_yHe
The mid-1980s #research #foundations of #ITAdoption and #ITUse #Models #Research from #Psychology having transformed #Volition, i.e., #SelfWill – formally known as #SelfDetermination into #Compliance, as close scrutiny of respective #Statistical #Measures would reveal:
Congruent #IT #Policy and #IT #Practice Would Pay the Price in #Trillions of #Wasted #Dollars in #Misdirected #IT #Investments!!
2024 New York State Cybersecurity Conference session:
How to Advance #Beyond #Generative #AI-#LLM ‘#Data-#Driven’ ‘#AI #Factories’ with #Meaning #Aware ‘#Human-#AI’ ‘#Ecosystems’: To #Meaning, #Thinking, #Reasoning & #Understanding: Despite historically unprecedented Wall Street hype, Generative AI-Large Language Models LLMs have NOTHING to do with #MEANING, #THINKING, #REASONING or #UNDERSTANDING. ALL current AI and GenAI, at best, can be described in terms of Statistical Computational Machine Learning capabilities for Pattern processing of PAST HISTORICAL Data. Such Past Data can have NOTHING to do with PREDICTION of FUTURE in as much as Future Patterns can certainly differ from the PAST patterns. For AI to be HUMAN-LIKE in terms of MEANING, THINKING, REASONING or UNDERSTANDING and PREDICTION of FUTURE, we MUST advance to Meaning-Aware Human-Centered AI of which we are building R&D Foundations Leading Global Practices for 30-years.
SSRN: Why #ArtificialIntelligence-#GenerativeAI and #LargeLanguageModels WILL Fail: How to Build #Agile-#Resilient-#Sustainable #Human-#AI #Systems: https://lnkd.in/ec99Zkd .
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