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?
A Business Guide for Navigating Trust and Ethics in AI
There Are No Facts
Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life
MIT Press, 2022
More than a Glitch
Confronting Race, Gender, and Ability Bias in Tech
MIT Press, 2023
Manage AI Bias Instead of Trying to Eliminate It
To remediate the bias built into AI data, companies can take a three-step approach.
MIT Sloan Management Review, 2023
A Skeptical Take on the AI Revolution
The AI expert Gary Marcus asks: What if ChatGPT isn’t as intelligent as it seems?
The New York Times, 2023
What ChatGPT Reveals About the Urgent Need for Responsible AI
As Generative AI democratizes adoption, new challenges loom for organizations.
Boston Consulting Group, 2023
Achieving Fair and Secure Data Models
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.
New York Times Magazine, 2022
Algorithms and the Attributes of Ourselves and Others
Duke University School of Law, 2020
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.
The New York Times, 2022
Responsibility: Responsible AI in Action
Microsoft AI Business School Podcast Episode 3