ARTIFICIAL INTELLIGENCE AND THE FUTURE OF LEARNING TECHNOLOGY WITH INNOVATIVE WAYS

Rakhimov Jakhongir Azamatovich

doi:10.5281/zenodo.10362538

Rakhimov Jakhongir Azamatovich

Abstract. This article describes the process of developing innovative ways in Artificial Intelligence inventing of future robots in the case of a lack of manual or mental labor. Discussion about misconceptions on artificial intelligence and impact on transforming customer engagement. Seamless experiences. Research to ensure that artificial intelligence remains safe and beneficial. Benefits and risks of Artificial Intelligence

Keywords: artificial intelligence, ability, risks and misconceptions, benefits, adoption, experience.

References:

1. Hawking, Stephen, et al. “Stephen Hawking:Transcendence looks at the implications of artificial intelligence-but are we taking AI seriously enough?” The Independent 2014, pp. 31-36, 2014. 2. M. Nadimpalli, “Artificial Intelligence - Consumers and Industry Impact”, Int J Econ Manag Sci, Vol. 6, pp. 429, 2017. 3. Charniak, Eugene, et al. “Artificial intelligence programming”, Psychology Press, vol. 27, 2014. 4. Imran, Muhammad, et al. “AIDR: Artificial intelligence for disaster response”. Proceedings of the 23rd International Conference on World Wide Web, ACM, pp. 67-82, 2014. 5. Modgil, Sanjay, H. Prakken, “A general account of argumentation with preferences”, Artificial Intelligence, vol. 195, pp. 361 -397, 2013. 6. Copeland, Jack "Artificial intelligence: A philosophical introduction" John Wiley & Sons, pp.81-84, 2015. 7. Jones, M. Tim, “Artificial Intelligence: A Systems Approach: A Systems Approach. Jones & Bartlett Learning”, pp. 107-109, 2015. 8. Dreyfus, L. Hubert, “What Computers Can’t Do: A Critique of Artificial Reason”, vol. 20, pp. 51-55, 2016. 9. Hovy, Eduard, R. Navigli, SP. Ponzetto, “Collaboratively built semi-structured content and Artificial Intelligence: The story so far”, Artificial Intelligence vol. 194, pp. 2-27, 2013. 10. Michalski, S. Ryszard, JG. Carbonell, TM. Mitchell, “Machine learning: An artificial intelligence approach”, Springer Science & Business Media, pp.88-93, 2013. 11. Boutilier, Craig, et al. “Optimal social choice functions: A utilitarian view”, Artificial Intelligence, Vol. 227, pp. 190-213, 2015