Home // CENTRIC 2023, The Sixteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article

Human-Feedback for AI in Industry

Authors:
Izaskun Fernandez
Kerman Lopez De Calle
Eider Garate
Regis Benzmuller
Melodie Kessler
Marc Anderson

Keywords: Human-feedback, Artificial Intelligence, Data Quality, Data Annotation, User-Centric

Abstract:
Artificial Intelligence (AI) offers a wide variety of opportunities to the manufacturing industry. However, there are still gaps and challenges to be solved before it can be successfully applied, with data availability and quality being one of the critical factors. The latter highlights the necessity of developing AI systems that can continually learn (from one or more domains) over a lifetime, starting from limited sets of data. This work presents research done on human reinforced learning approaches on small training data sets of open dynamic environments. Beginning this way allows the development of AI models able to learn over time, while taking advantage of a data driven approach along with a knowledge-based approach considering human-feedback as a key enabler.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2023

Publication date: November 13, 2023

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-68558-100-8

Location: Valencia, Spain

Dates: from November 13, 2023 to November 17, 2023