
M.C. Elish is a cultural anthropologist whose work examines the social impacts of AI and automation on society. As Research Lead and co-founder of the AI on the Ground Initiative at Data & Society, she works to inform the ethical design, use, and governance of AI systems through the application of social science research and human-centered ethnographic perspectives. Her recent research has focused on how AI technologies affect understandings of equity, values and ethical norms and how professional work lives change in response. She has conducted field work across varied industries and communities, ranging from the Air Force, civilian drone regulation, and commercial aviation to precision agriculture and emergency clinical care. Her research has been published and cited in scholarly journals as well as publications including The New York Times, Slate, Vice, and USA Today. She holds a PhD in Anthropology from Columbia University and an S.M. in Comparative Media Studies from MIT.
Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction
Engaging Science, Technology and Society | 05.01.19
Madeleine Clare Elish
The Stakes of Uncertainty: Developing and Integrating Machine Learning in Clinical Care
SSRN | 10.11.18
Madeleine Clare Elish
Moral Crumple Zones: Cautionary Tales In Human-Robot Interaction
paper | 03.20.16
Madeleine Clare Elish
paper | 02.24.15
Madeleine Clare Elish, Tim Hwang
Accountable Algorithmic Futures
points | 04.19.19
Andrew Selbst, Madeleine Clare Elish, Mark Latonero
Developing AI apps free from bias crucial to avoid analytics errors
TechTarget | 07.07.18
Madeleine Clare Elish
The future of designing autonomous systems will involve ethnographers
EthnographyMatters.net | 06.28.16
Madeleine Clare Elish
“Moral Crumple Zones”: When your self-driving car crashes, you could still be the one who gets sued
Quartz | 07.25.15
Madeleine Clare Elish, Tim Hwang
Might Intelligent Machines One Day Convince Us It’s Time to Die?
Vice | 05.27.15
Tim Hwang, Madeleine Clare Elish
When new technology goes badly wrong, humans carry the can
The Guardian | 03.31.19
When algorithms mess up, the nearest human gets the blame
MIT Technology Review | 05.28.19
What does a fair algorithm actually look like?
Wired | 10.11.18
Robotics and Automation Are Transforming Food System Labor
Food Tank | 01.08.18
Elon Musk says AI could doom human civilization. Zuckerberg disagrees. Who’s right?
USA Today | 01.02.18
Not the Bots We Were Looking For
The New York Times | 11.01.17
With this ‘mirage of a marketplace’, Uber is taking its customers for a ride
The Guardian | 01.10.16
04.11.19 | WeRobot 2019
02.13.19 | Databite No. 118: Shoshana Zuboff
10.09.18 | EPIC 2018
04.12.18 | We Robot Conference 2018
10.28.17 | FACETS
03.31.17 | WeRobot 2017
01.25.17 | An AI Pattern Language
10.20.16 | A.I. For Good
04.01.16 | We Robot 2016
11.17.15 | Deciding with Data: How Society Can Use Algorithms to Make Better Choices
11.03.15 | Surveillance
03.24.15 | Intelligence and Autonomy forum
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