In: Society, Science, Technology

AI and Ethics

Technological advancements pose new and unprecedented ethical questions that humanity will have to deal with. The world will surely not become a better place if our conscious or unconscious biases make their way into algorithms. AI should be fair. In the end, it comes down to this: Do we want to model the world as it is, or as it should be?

Related Channels


9 Article

What ChatGPT Reveals About the Urgent Need for Responsible AI

As Generative AI democratizes adoption, new challenges loom for organizations.
Abhishek Gupta et al.
Boston Consulting Group, 2023
9 Book

Practical Fairness

Achieving Fair and Secure Data Models
Aileen Nielsen
O'Reilly, 2020
10 Article

A.I. Is Mastering Language. Should We Trust What It Says?

OpenAI’s GPT-3 and other neural nets can now write original prose with mind-boggling fluency – a development that could have profound implications for the future.
Steven Johnson
New York Times Magazine, 2022
8 Book

Cloud Ethics

Algorithms and the Attributes of Ourselves and Others
Louise Amoore
Duke University School of Law, 2020
8 Article

Meet DALL-E, the A.I. That Draws Anything at Your Command

New technology that blends language and images could serve graphic artists – and speed disinformation campaigns.
Cade Metz
The New York Times, 2022
8 Podcast

Responsibility: Responsible AI in Action

Microsoft AI Business School Podcast Episode 3
David Carmona and Guillermo Carmona
Microsoft, 2020

Ethical Machines

Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI
Reid Blackman
Harvard Business Review Press, 2022
8 Article

Ethicists were hired to save tech’s soul. Will anyone let them?

Firms are adding ethical thinking to their processes, but ethical outcomes are optional.
Linda Kinstler
Protocol, 2020

Deep Thinking

Where Machine Intelligence Ends and Human Creativity Begins
Garry Kasparov
Public Affairs, 2017
8 Article

An AI Tool to Make Clinical Trials More Inclusive

An artificial-intelligence tool called Trial Pathfinder can run clinical-trial emulations using healthcare data from people with cancer, and can learn how to optimize trial-inclusion eligibility criteria, while maintaining patient safety.
Chunhua Weng and James R. Rogers
Nature, 2021