Demystifying Federated Learning in Artificial Intelligence With Human-Computer Interaction

Author:

Whig Pawan1,Velu Arun2,Ready Rahul3

Affiliation:

1. Vivekanada Institute of Professional Studies, India

2. Equifax, USA

3. University of Cumbersome, USA

Abstract

Today, attempts have been made to overcome entertainment objectives in the production of video games. In reality, much work has gone into seeking tools in computer science using AI and advanced technologies to develop games so that they can be used in educational, industry, or political processes. For these goods to be successfully introduced into society, they must be crafted to be as available as possible to all people, including those who belong to minorities with special needs. Adaptability and compatibility need to ensure better quality and adoption of goods to meet accessibility requirements. With demystifying federated learning in artificial intelligence, the possibilities of combining human-computer interaction with artificial intelligence to enhance usability in games, and thus to make them more democratic and useful to society, especially for those who rely on assistive technology services, are discussed in this chapter.

Publisher

IGI Global

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