Super-Intelligent Machines - Analysis of Developmental Challenges and Predicted Negative Consequences

Abstract

Purpose: There is a large hue and cry on achieving Super-Intelligence Machines (SIMs) using artificial intelligence technology and its adverse effect on society initially started both academia and industries which is now percolating to society and governance of many countries. It is interesting to study the possibility of the development of Super-Intelligent Machines (SIMs), their predicted abilities to surpass human intelligence in any general or particular area, and also the predicted negative consequences on human life or dangers of using such machines in the sustainability of human life on earth. Methodology: Used exploratory research method to analyse the issue of Achieving & Consequences of Super-Intelligent Machines by collecting relevant & published information using Google search engine, Google Scholar search engine, and Various Artificial Intelligence generating engines like ChatGPT & Bard, etc. The information is analysed using SWOC and ABCD analysis frameworks from various stakeholders’ points of view. Findings: As artificial intelligence continues to advance rapidly, the prospect of creating super-intelligent machines that surpass human cognitive abilities raises crucial questions and concerns. This comprehensive study aimed to analyse the developmental challenges involved in achieving super-intelligence machine, examining the ethical and societal implications, as well as predicting potential negative consequences that might arise from the widespread deployment of such machines. The development roadmap and consequences of such development of SIMs in society are analysed by means of their strengths, weaknesses, opportunities, and challenges. The advantages, benefits, constraints, and disadvantages of realizing SIMs are also analysed. Finally, certain Suggestions for precautions on consequences on human life are included as percussion for the use of such high-tech systems. Originality/Value: By exploring the risks and benefits associated with super-intelligent machines, this research paper seeks to foster a deeper understanding of the transformative role they might play in shaping our future and to offer insights that can guide policymakers, researchers, and industry leaders in making informed decisions to harness this technology responsibly. Type of Paper: Exploratory Research.

Innovations, Best Practices, and Distinctiveness in Academics – A Case of Srinivas University

“…SWOC analysis identifies the strengths, weaknesses, opportunities, and challenges of an organization in an identified area [74][75][76][77][78][79][80][81][82][83][84][85][86]. Here, the SWOC analysis in terms of listing of strengths, weaknesses, opportunities, and challenges at Srinivas University is presented: (5) Alumni Association: Too young Alumni Association for significant Alumni and Philanthropic contribution.…”