Towards A More Human-Centric Machine Learning Paradigm
Standing
Undergraduate
Type of Proposal
Oral Research Presentation
Challenges Theme
Open Challenge
Faculty Sponsor
Dr. Allyson Skene
Proposal
The research revolves around using a prominent teaching ideology of transcendental learning as a new machine learning paradigm. The authors present a set of philosophical guidelines that can be a part of the new machine learning framework. Transcendental learning concepts are described and translated into specific approaches that can be used in training machine learning and artificial intelligence (AI) models. The paper aims to give suggestions to make AI systems incorporate human characteristics. The recommendations and ideas offered in our research are theoretical and philosophical. They may not work when put into reality. Still, the exercise of using our imagination and drawing parallels with concepts from other domains, such as psychology and education, is worthwhile. As it sparks an ongoing conversation that may lead to fresh suggestions that are more workable toward making AI systems more humane. The research work relates to the UNSDG 9, i.e. Industry, Innovation and Infrastructure.
Grand Challenges
Viable, Healthy and Safe Communities
Towards A More Human-Centric Machine Learning Paradigm
The research revolves around using a prominent teaching ideology of transcendental learning as a new machine learning paradigm. The authors present a set of philosophical guidelines that can be a part of the new machine learning framework. Transcendental learning concepts are described and translated into specific approaches that can be used in training machine learning and artificial intelligence (AI) models. The paper aims to give suggestions to make AI systems incorporate human characteristics. The recommendations and ideas offered in our research are theoretical and philosophical. They may not work when put into reality. Still, the exercise of using our imagination and drawing parallels with concepts from other domains, such as psychology and education, is worthwhile. As it sparks an ongoing conversation that may lead to fresh suggestions that are more workable toward making AI systems more humane. The research work relates to the UNSDG 9, i.e. Industry, Innovation and Infrastructure.