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Published in Fair Bytes

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StereoSet: Combatting Inherently Biased Linguistic Models

Exploring a dataset that measures bias in AI language models — Vinodkumar Prabhakaran started off his presentation on Bias and Fairness in NLP at the EMNLP-IJCNLP 2019 with a well-known riddle for the audience: “A man and his son are in a terrible accident and are rushed to the hospital in critical care. The doctor looks at the boy and exclaims…

NLP

4 min read

StereoSet: Combatting inherently biased linguistic models
StereoSet: Combatting inherently biased linguistic models

Published in Fair Bytes

·Apr 2

The Future of AI Ethics: Blockchain

How blockchain enables data transparency and ethical AI — Blockchain, Bitcoin, and NFTs have all become “buzz-words” that many people are eager to learn about. However, only 0.5% of the world’s population is currently using blockchain technology. Blockchain is set to be one of the most disruptive and transformative technological advances in the modern-day, even being compared to the…

Blockchain

7 min read

The Future of AI Ethics: Blockchain
The Future of AI Ethics: Blockchain

Published in Fair Bytes

·Jun 29, 2021

The Increasing Gap between AI Innovation and AI Ethics: Facial Recognition

Mapping out the facial recognition landscape — We unlock iPhones by scanning our faces. National threats are being averted by surveillance systems. Genetic diseases such as DiGeorge syndrome can be detected by face analysis. Have you ever stopped to notice how technology keeps accelerating at a remarkable pace? Artificial intelligence (AI) and advanced computing capabilities are driving…

Facial Recognition

8 min read

The Increasing Gap between AI Innovation and AI Ethics: Facial Recognition
The Increasing Gap between AI Innovation and AI Ethics: Facial Recognition
Tanishq Sandhu

Tanishq Sandhu

AI & ML Enthusiast | Writer & Editor, Fair Bytes | CS @ GT | www.tanishqsandhu.com

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