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Quotes

Artificial Intelligence Will Replace Tasks, Not Jobs

"Tasks within jobs typically show considerable variability in 'suitability for machine learning' while few -- if any -- jobs can be fully automated using machine learning. Machine learning technology can transform many jobs in the economy, but full automation will be less significant than the re-engineering of processes and the reorganization of tasks." — Erik Brynjolfsson, Professor of Economics, MIT Sloan School of Management


Erik Brynjolfsson
Source: Forbes
August 14, 2018

Artificial Intelligence—With Very Real Biases

"Artificial intelligence is quickly becoming part of the information infrastructure we rely on every day. Early-stage AI technologies are filtering into everything from driving directions to job and loan applications. ... Error-prone or biased artificial-intelligence systems have the potential to taint our social ecosystem in ways that are initially hard to detect, harmful in the long term and expensive—or even impossible—to reverse." — Kate Crawford, Co-founder, AI Now


Kate Crawford
Source: Wall Street Journal
October 17, 2017

Will There Be Any Jobs Left for Humans?

"I have complete faith in the ability to identify job gaps and develop educational tools to address those gaps. I have zero confidence in us having the political will to address the socioeconomic factors that are underpinning skill training." — danah boyd, Principal Researcher, Microsoft Research


danah boyd
Source: The Seattle Times
May 12, 2017

Holding AI to Account: Will Algorithms Ever Be Free from Bias If They're Created by Humans?

"The primary challenges are: helping people see that algorithms are more than code; that transparency is not the same as accountability; and that the forces driving algorithmic systems are so dynamic, complex, and probabilistic that it makes little sense to talk about the algorithm as if it's a single piece of code that isn't constantly changing, that means different things to different people." — Mike Ananny, Assistant Professor of Communication and Journalism, University of Southern California


Mike Ananny
Source: Wired
December 6, 2016

TAP Blog

AI and Speed

A report from Cornell Tech’s Speed Conference shares research in areas of autonomous vehicles, warfare, information security, labor and manufacturing, content moderation, and finance.

TAP Guest Blogger

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Featured Article

Robots and Privacy

As robots become more mainstream, the technology can implicate privacy in obvious and surprising ways.

By: M. Ryan Calo