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Why Today's Artificial Intelligence is Different?

#artificialintelligence

Why is today's narrow artificial intelligence (AI) not real? Most of the machine learning, deep learning 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 part of human life. We have to be intelligently critical and fully objective as modern science demands it, and 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.


#selfdrivingcars_2022-03-16_05-36-02.xlsx

#artificialintelligence

The graph represents a network of 1,615 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 March 2022 at 12:44 UTC. The requested start date was Wednesday, 16 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 18-day, 5-hour, 39-minute period from Friday, 25 February 2022 at 15:50 UTC to Tuesday, 15 March 2022 at 21:30 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


#selfdrivingcars_2022-02-23_05-36-01.xlsx

#artificialintelligence

The graph represents a network of 1,543 Twitter users whose tweets in the requested range contained "#selfdrivingcars", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 February 2022 at 13:47 UTC. The requested start date was Wednesday, 23 February 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 13-day, 5-hour, 31-minute period from Wednesday, 09 February 2022 at 14:35 UTC to Tuesday, 22 February 2022 at 20:06 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


How to Regulate Artificial Intelligence the Right Way: State of AI and Ethical Issues

#artificialintelligence

It is critical for governments, leaders, and decision makers to develop a firm understanding of the fundamental differences between artificial intelligence, machine learning, and deep learning. Artificial intelligence (AI) applies to computing systems designed to perform tasks usually reserved for human intelligence using logic, if-then rules, and decision trees. AI recognizes patterns from vast amounts of quality data providing insights, predicting outcomes, and making complex decisions. Machine learning (ML) is a subset of AI that utilises advanced statistical techniques to enable computing systems to improve at tasks with experience over time. Chatbots like Amazon's Alexa and Apple's Siri improve every year thanks to constant use by consumers coupled with the machine learning that takes place in the background.


iot ai_2022-03-23_04-32-01.xlsx

#artificialintelligence

The graph represents a network of 2,275 Twitter users whose tweets in the requested range contained "iot ai", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 23 March 2022 at 11:42 UTC. The requested start date was Wednesday, 23 March 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 17-hour, 13-minute period from Monday, 21 March 2022 at 06:46 UTC to Wednesday, 23 March 2022 at 00:00 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.