Explainable Artificial Intelligence

Explainable Artificial Intelligence

Registration ID: IJNRD_213104

Published ID: IJNRD2402034

DOI: Click Here to Get

Pawar Naitik Ashok , Mule Mugdha Prabhakar , Mukhmale Sanika Gajanan , Saikumar Anil Madel

Black-bok Explainable Artificial Intelligence (XAI) Machine learning (ML) artificial intelligence (AI) CML arXiv LIME SHAP Fairness Bias Mitigation Causality Ethical AI Local/global Explanations

Explainable artificial intelligence is often discussed in relation to deep learning and plays an important role in the FAT -- fairness, accountability and transparency -- ML model. XAI is useful for organizations that want to build trust when implementing an AI. XAI can help them understand an AI model's behavior, helping to find potential issues such as AI biases. XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision. XAI helps human users understand the reasoning behind AI and machine learning (ML) algorithms to increase their trust. Machine learning (ML) algorithms used in AI can be categorized as "white-box" or "black-box". White-box models provide results that are understandable to experts in the domain. Black-box models, on the other hand, are extremely hard to explain and can hardly be understood even by domain experts. XAI algorithms follow the three principles of transparency, interpretability, and explainability.

Published Paper   E-Certificate

"Explainable Artificial Intelligence", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a282-a307, February-2024, Available :https://ijnrd.org/papers/IJNRD2402034.pdf

Volume 9 Issue 2, February-2024

Pages : a282-a307

Paper Reg. ID: IJNRD_213104

Published Paper Id: IJNRD2402034

Downloads: 000121216

Research Area: Engineering

Country: pune, maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402034.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402034

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

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

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