Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6539169512791564289
Why AI Systems Fail and What to Do About It:
MIT AI-Machine Learning Executive Guide:
https://lnkd.in/eknKzm5 : FutureOfFinance.org/MIT/
The #HumanFactor is the key component of all #AI #Systems as we discussed in above #MIT AI-ML Leadership program. #Algorithms are designed by humans as are #Models even when generated ‘automatically’. The key fact remains that the #logic, #assumptions, and, #data and other related choices of #methods and #models and #scientific (#statistical) #validity and #reliability are human #choices – even when designed intentionally or ‘inadvertently’ in underlying technologies. The critical role of the #HumanFactor in #conceptualization, #design, #development, #deployment, and particularly in #RISK & #CONTROL of all such #ArtificialIntelligence #MachineLearning #KnowledgeManagement technologies is the focus of the R&D Leading Global AI-ML-KM practices: https://lnkd.in/eQAR3rd . 2008 AACSB Impact of Research Report recognized above R&D for real impact among Finance Nobel laureate contributions such as Black-Scholes: https://bit.ly/2KoIPEP.
Latest #Risks & #Controls R&D leading global AI-ML-KM practices on forums such as ACM, AFCEA, AFRL, Capco, CFA, MIT, NAIC, State of New York, Princeton is in SSRN page accessible from: http://www.yogeshmalhotra.com.
