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Sundar Narayanan

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Sundar Narayanan

The Need for Explainability and Simulation in Preference Optimization

The world is multilingual and technology is recognizing the need to be multilingual. Working on multilingual data or models with language…

Jul 10

The Need for Explainability and Simulation in Preference Optimization

Jul 10

Sundar Narayanan

Understanding limitations, evaluating Risks, and Addressing Challenges in Retrieval-Augmented…

Despite the potential benefits of retrieval augmented generation (RAG) in terms of generating accurate and contextually relevant responses…

Mar 28

Understanding limitations, evaluating Risks, and Addressing Challenges in Retrieval-Augmented…

Mar 28

Sundar Narayanan

Bias Risk Assessment — A systematic approach — Part 2/3

The primary step to assess bias risk would require gathering preliminary information regarding the AI System. To gather such preliminary…

Nov 28, 2022

Bias Risk Assessment — A systematic approach — Part 2/3

Nov 28, 2022

Sundar Narayanan

Bias Risk Assessment — A systematic approach — Part 2/3

Bias risk assessment shall consider the types of bias, types of data and types of models prior to contextually assessing them for…

Nov 28, 2022

Bias Risk Assessment — A systematic approach — Part 2/3

Nov 28, 2022

Sundar Narayanan

Bias Risk Assessment — A systematic approach — Part 1/2

Bias is contributed by data, model, outcome, interface, environment, and human actions in which such AI/ML system is used. It could exist…

Nov 28, 2022

Bias Risk Assessment — A systematic approach — Part 1/2

Nov 28, 2022

Sundar Narayanan

Essential terms and conditions for public procurement of Artificial Intelligence related products…

The government published a National Strategy for Artificial Intelligence in June 2018 and launched a National AI portal (here) containing a…

Nov 25, 2022

Nov 25, 2022

Sundar Narayanan

I know how you swipe on your device!!!

Dealing with the risks of behavior biometrics

Jun 29, 2022

I know how you swipe on your device!!!

Jun 29, 2022

Sundar Narayanan

Human-in-the-loop or on-the-loop is not a silver bullet. Evaluate their effectiveness!!!

Framework for evaluating effectiveness of Human-in-the-loop or Human-on-the-loop

Jan 4, 2022

Human-in-the-loop or on-the-loop is not a silver bullet. Evaluate their effectiveness!!!

Jan 4, 2022

Sundar Narayanan
in
Towards Data Science

GitHub and Pre-Trained Models: A Keyhole View

GitHub contains pre-trained models that may contain inherent biases, and the absence of model scorecards will contribute to amplifying the…

Jul 12, 2021

GitHub and Pre-Trained Models: A Keyhole View

Jul 12, 2021

Sundar Narayanan
in
Towards Data Science

A cautionary tale: multi-stakeholder feedback in AI Ethics

Multi-stakeholder feedback has its inherent flaws, hence, its best to treat them as ‘one of the means’ than an ‘as an end’ to establishing…

Jun 30, 2021

A cautionary tale: multi-stakeholder feedback in AI Ethics

Jun 30, 2021

Sundar Narayanan

Sundar Narayanan

Ethics and Compliance Professional, Podcast Host, Article writer, Researcher. https://www.linkedin.com/in/sundaraparipurnann/

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