Artificial Intelligence (AI) & Machine Learning (ML) are Different from Human Intellige. . .

Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6977211227173261312

Artificial Intelligence (AI) & Machine Learning (ML) are Different from Human Intelligence (HI): AI is Not Human and Humans are Not AI! While AI-ML-DL are based on Statistical Probabilistic Mechanical Pattern Processing, HI is based on how HUMAN MIND CREATES MEANING as in Socio-Psychological Personal and Social Construction of Meanings based upon Affect-Feelings-Emotions, Self-Determination and Volition driven Cognition, Creativity, Imagination, Intuition, Insight and Meaningful Purposive Action: ALL considered TOGETHER, NOT separately as many tend to focus on Cognition alone!

Massachusetts Institute of Technology
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT Sloan School of Management
#MIT #AI #ML #DL #Executive #Guide: https://lnkd.in/eknKzm5 :

Princeton University
Princeton Bendheim Center for Finance
Operations Research & Financial Engineering Department, Princeton University
#Princeton #AI #Quantum #Presentations: https://lnkd.in/gcp_yHe :

#Machines are NOT #Human: #Statistics is NOT #Psychology:
#ComputerScience #SystemsScience #NetworkScience #Data:
#Psychology: https://lnkd.in/epx6zV3
#Statistics: https://lnkd.in/ec99Zkd

#AI is NOT #HumanLike

Calling #AI or #ML is Human-Like MUST be based on #scientific #foundations of KNOWING what #Human #Knowing, #Learning, #Intelligence mean as well as CLEAR CONTRASTS between AI and HI.

HI: #Human #Knowing #Learning #Intelligence: https://lnkd.in/epx6zV3
vs
AI: #AI #ML #DL #NLP: https://lnkd.in/ec99Zkd

#Circular #reasoning is evident in the ‘assumption’ that AI is #HumanLike and then arriving at the ‘conclusion’ that AI is #HumanLike. This MUST STOP to not only avoid AI-Nuclear Winter [worse than any prior #AIWinter] and to avoid #confusion that can lead to #muddled #policy-#execution from fundamentally #flawed #assumptions, that can have #existential #implications as in AI-driven #Nuclear #Global #Defense and #Space: https://lnkd.in/gMR596dj

#AI #Attention is NOT #Human #Attention

Situation is not helped by using #Psychological constructs such as #Human #Attention [as used by #HerbertSimon] and #nonchalantly affixing their names to #AI as in #Attention-#Transformers: https://lnkd.in/gGQRBvJC

#Human #Intelligence is DRIVEN by #MEANING, #AI has NONE.

#Mechanical #Meaningless #AI #ML #DL, such as #NLP used for #query would be even more confused when two totally different Attention constructs are used in same #search along with other terms that MEAN totally different things: e.g. the classic #SearchEngine problem of #recognizing-#distinguishing between #Penguins #birds from a US #hockey team of the same name https://lnkd.in/eCKAYpK

#ReinforcementLearning #RL: #AI #RL is NOT #Human #RL

Limitations of RL can lead to large-scale #failures of #systems when advanced beyond #lab #environments to #realworld #dynamic-#nondeterministic #environments https://lnkd.in/ec99Zkd .

Global Risk Management Network, LLC: Future of AI-Computer Science-Data Science-Finance Are All Here

Artificial Intelligence (AI) & Machine Learning (ML) are Different from Human Intelligence (HI): AI is Not Human and Humans are Not AI! While AI-ML-DL are based on Statistical Probabilistic Mechanical Pattern Processing, HI is based on how HUMAN MIND CREATES MEANING as in Socio-Psychological Personal and Social Construction of Meanings based upon Affect-Feelings-Emotions, Self-Determination and Volition driven Cognition, Creativity, Imagination, Intuition, Insight and Meaningful Purposive Action: ALL considered TOGETHER, NOT separately as many tend to focus on Cognition alone! Massachusetts Institute of Technology MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT Sloan School of Management #MIT #AI #ML #DL #Executive #Guide: https://lnkd.in/eknKzm5 : Princeton University Princeton Bendheim Center for Finance Operations Research & Financial Engineering Department, Princeton University #Princeton #AI #Quantum #Presentations: https://lnkd.in/gcp_yHe : #Machines are NOT #Human: #Statistics is NOT #Psychology: #ComputerScience #SystemsScience #NetworkScience #Data: #Psychology: https://lnkd.in/epx6zV3 #Statistics: https://lnkd.in/ec99Zkd #AI is NOT #HumanLike Calling #AI or #ML is Human-Like MUST be based on #scientific #foundations of KNOWING what #Human #Knowing, #Learning, #Intelligence mean as well as CLEAR CONTRASTS between AI and HI. HI: #Human #Knowing #Learning #Intelligence: https://lnkd.in/epx6zV3 vs AI: #AI #ML #DL #NLP: https://lnkd.in/ec99Zkd #Circular #reasoning is evident in the 'assumption' that AI is #HumanLike and then arriving at the 'conclusion' that AI is #HumanLike. This MUST STOP to not only avoid AI-Nuclear Winter [worse than any prior #AIWinter] and to avoid #confusion that can lead to #muddled #policy-#execution from fundamentally #flawed #assumptions, that can have #existential #implications as in AI-driven #Nuclear #Global #Defense and #Space: https://lnkd.in/gMR596dj #AI #Attention is NOT #Human #Attention Situation is not helped by using #Psychological constructs such as #Human #Attention [as used by #HerbertSimon] and #nonchalantly affixing their names to #AI as in #Attention-#Transformers: https://lnkd.in/gGQRBvJC #Human #Intelligence is DRIVEN by #MEANING, #AI has NONE. #Mechanical #Meaningless #AI #ML #DL, such as #NLP used for #query would be even more confused when two totally different Attention constructs are used in same #search along with other terms that MEAN totally different things: e.g. the classic #SearchEngine problem of #recognizing-#distinguishing between #Penguins #birds from a US #hockey team of the same name https://lnkd.in/eCKAYpK #ReinforcementLearning #RL: #AI #RL is NOT #Human #RL Limitations of RL can lead to large-scale #failures of #systems when advanced beyond #lab #environments to #realworld #dynamic-#nondeterministic #environments https://lnkd.in/ec99Zkd . Global Risk Management Network, LLC: Future of AI-Computer Science-Data Science-Finance Are All Here
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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.