Pinaki Laskar on LinkedIn: #machinelearning #deeplearning #neuralnetworks

Why We All Need the Next Generation Machine Intelligence, Causal AI and Explainable ML? Today's Narrow and Weak AI of Machine Learning and Data Science is not a Real or True AI, be it large-scale language models as 17bn Turing-NLG, 175bn GPT-3, 1.75T Wu Dao 2.0, big tech ML platforms, recommending engines, digital assistants, self-driving transportation, or lethal autonomous weapon systems (LAWS), autonomous weapon systems (AWS), robotic weapons, killer robots operating in the air, on land, on water, under water, or in space. Its ML/DL algorithms and models are heavily relying on the statistical learning theory instead of causal learning, thus predicting spurious correlations instead of meaningful causation. This makes a critical difference for the whole enterprise, its applications, prospects, and impacts on every parts of human life. We have to be intelligently critical and fully objective as modern science demands it, as far as it concerns all of us and our human future. The AI world has been flooded with a series of gigantic language model projects promoted as the last word in AI.