Problem & Solution for Bias and Fairness in AI Robotics

Problem & Solution for Bias and Fairness in AI Robotics

Registration ID: IJNRD_189823

Published ID: IJNRD2304664

DOI: Click Here to Get

Rakesh Veerapaneni

Artificial Intelligence, Fairness, Discrimination, Machine Learning, Data Bias, Algorithmic Bias, Ethical AI, Social Justice, Data Science, Transparency, Accountability, Explainability, Diversity and Inclusion, Sensitivity Analysis, Causal Inference, Model Validation, Governance.

The increasing use of artificial intelligence (AI) in robotics has led to concerns about the potential for bias and unfairness in AI decision-making. As AI algorithms are only as good as the data they are trained on, if the data is biased, the algorithm may also be biased, resulting in unfair or discriminatory decisions. This paper examines the problem of bias and fairness in AI robotics, and potential solutions for addressing these issues. We first provide an overview of the sources of bias in AI robotics, including biased data, biased models, and biased decision-making. We then discuss the potential implications of bias and unfairness in AI decision-making, including the perpetuation of social inequality and discrimination. We also review recent research on methods for detecting and mitigating bias in AI decision-making, including fairness constraints, causal reasoning, and counterfactual analysis. Finally, we explore some of the challenges and limitations associated with addressing bias and fairness in AI robotics, such as the trade-off between fairness and accuracy, the difficulty of defining and measuring fairness, and the potential for unintended consequences. We conclude by highlighting the importance of continued research into the problem of bias and fairness in AI robotics, and the need for interdisciplinary collaboration to develop more effective solutions.

Published Paper   E-Certificate

"Problem & Solution for Bias and Fairness in AI Robotics", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.g470-g475, April-2023, Available :https://ijnrd.org/papers/IJNRD2304664.pdf

Volume 8 Issue 4, April-2023

Pages : g470-g475

Paper Reg. ID: IJNRD_189823

Published Paper Id: IJNRD2304664

Downloads: 000121129

Research Area: Other

Country: KANIGIRI, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304664.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304664

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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