Open in app
Home
Notifications
Lists
Stories

Write
Sundar Narayanan
Sundar Narayanan

Home

Published in MLearning.ai

·Jan 4

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 — HTL in Context Human-in-the loop/ on-the-loop (herein referred as ‘HTL’) is a mechanism through which human intelligence is integrated in using or leveraging machine learning adoption, thereby supporting human discretion with machine activity/ outcomes. HTL is about two key factors (1) Design of Human-Computer Interaction and (2) Autonomy of Decision making. With increased…

Human In The Loop

8 min read

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

Published in Towards Data Science

·Jul 12, 2021

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 bias for users who fork such repos. — Setting the context GitHub is a prominent internet hosting platform for software codes and their version control. GitHub enables its 56 million users (organizations and individuals) to create repositories of their work on the platform for ease of access, version control and for sharing with or without a license (Apache…

Github

5 min read

GitHub and Pre-Trained Models: A Keyhole View
GitHub and Pre-Trained Models: A Keyhole View

Published in Towards Data Science

·Jun 30, 2021

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 and maintaining Ethics in Artificial Intelligence — Setting the context Ethics is a system of accepted beliefs that guide or control behaviour of individuals or groups. Beliefs represent rational, truthful, factual view in some parts and their contrary in some parts in relation to the current time. The accepted beliefs may relate to social philosophies learnt from…

Multi Stakeholder

5 min read

A cautionary tale: multi-stakeholder feedback in AI Ethics
A cautionary tale: multi-stakeholder feedback in AI Ethics

Published in Towards Data Science

·May 3, 2021

Fraud-Prediction Algorithms: Looking from the Lens of Draft EU AI regulation

EU AI draft regulations may have an impact on fraud-prediction algorithms and may require review and refinement — Fraud prediction models have existed for a decade or more, in financial services and emerging tech industry including e-commerce, its evolving slowly in multiple other industries for various used cases (eg. warranty fraud prediction) A fraud or cyber security prediction model is a typical prediction model with a specific intent…

5 min read

Fraud prediction algorithms: Looking from the lens of draft EU AI regulation
Fraud prediction algorithms: Looking from the lens of draft EU AI regulation

Published in Towards Data Science

·Feb 6, 2021

Why are algorithms unfair?

Litmus test for travel, mobility, and delivery service platforms — Travel (Ticketing), Mobility (Transport network and ride-hailing platforms) and Delivery service platforms have become a norm in recent years and needless to say that many of us are inherently grateful for their support in the COVID-19 times. With a deep tech foundation, integrated ecosystem view and efforts towards meeting customer…

Algorithmic Bias

4 min read

Why algorithms are unfair?
Why algorithms are unfair?

Published in Towards Data Science

·Jan 15, 2021

Why AI ethics Requires a Culture-Driven Approach

There is a big piece missing in many organizations: building culture collaboratively to stand for principles. — Timnit Gebru, an Ethiopian American, known for her progressive AI ethics research, who was Co-lead of Ethical Artificial Intelligence Team at Google, said in a tweet on Thursday that she was fired from Google for a research paper that highlighted bias in AI. While the AI ethics researchers and sociologists…

6 min read

Why AI ethics requires a culture driven approach?
Why AI ethics requires a culture driven approach?
Sundar Narayanan

Sundar Narayanan

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

Following
  • Louis Bouchard

    Louis Bouchard

  • Carlos E. Perez

    Carlos E. Perez

  • Elliot Gunn

    Elliot Gunn

  • AI Now Institute

    AI Now Institute

  • Piotr (Peter) Mardziel

    Piotr (Peter) Mardziel

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Knowable