Systematic Review on Humanizing Machine Intelligence and Artificial Intelligence

Title

Systematic Review on Humanizing Machine Intelligence and Artificial Intelligence

Creator

Abraham J.; Cherian G.J.; Jayapandian N.

Description

In this era, Machine Learning is transforming human lives in a very different way. The need to give machines the power to make decisions or giving the moral compass is a big dilemma when humanity is more divided than it has ever been. There are two main ways in which law and AI interact. AI may be subject to legal restrictions and be employed in courtroom procedures. The world around us is being significantly and swiftly changed by AI in all of its manifestations. Public law includes important facets such as nondiscrimination law and labor law. In a manner similar to this when artificial intelligence (AI) is applied to tangible technology like robots. In certain cases, artificial intelligence (AI) might be hardly noticeable to customers but evident to those who built and are using it. The behavior research offers suggestions for how to build enduring and beneficial interactions between intelligent robots and people. The human improvement is main obstacles in the development and implementation of artificial intelligence. Best practices in this area are not governed by any one strategy that is generally acknowledged. Machine learning is about to revolutionize society as it is know it. It is crucial to give intelligent computers a moral compass now more than ever before because of how divided mankind is. Although machine learning has limitless potential, inappropriate usage might have detrimental long-term implications. It will think about how, for instance, earlier cultures built trust and improved social interactions via creative answers to many of the ethical issues that machine learning is posing now. 2023 IEEE.

Source

Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, pp. 1092-1097.

Date

2023-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Artificial Intelligence; Cognitive Intelligence; Humanizing; Machine Learning; Social Interactions;

Coverage

Abraham J., Deemed to Be University, Christ, Department of CSE, Bangalore, India; Cherian G.J., Deemed to Be University, Christ, Department of Mechanical Engineering, Bangalore, India; Jayapandian N., Deemed to Be University, Christ, Department of CSE, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835034664-0

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICEARS56392.2023.10084967

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