Showing posts with label machine learning. Show all posts
Showing posts with label machine learning. Show all posts

Friday, April 16, 2021

Big Tech’s guide to talking about AI ethics; Wired, April 13, 2021

  , Wired; Big Tech’s guide to talking about AI ethics

"AI researchers often say good machine learning is really more art than science. The same could be said for effective public relations. Selecting the right words to strike a positive tone or reframe the conversation about AI is a delicate task: done well, it can strengthen one’s brand image, but done poorly, it can trigger an even greater backlash.

The tech giants would know. Over the last few years, they’ve had to learn this art quickly as they’ve faced increasing public distrust of their actions and intensifying criticism about their AI research and technologies.

Now they’ve developed a new vocabulary to use when they want to assure the public that they care deeply about developing AI responsibly—but want to make sure they don’t invite too much scrutiny. Here’s an insider’s guide to decoding their language and challenging the assumptions and values baked in...

diversity, equity, and inclusion (ph) - The act of hiring engineers and researchers from marginalized groups so you can parade them around to the public. If they challenge the status quo, fire them...

ethics board (ph) - A group of advisors without real power, convened to create the appearance that your company is actively listening. Examples: Google’s AI ethics board (canceled), Facebook’s Oversight Board (still standing).

ethics principles (ph) - A set of truisms used to signal your good intentions. Keep it high-level. The vaguer the language, the better. See responsible AI."

Wednesday, October 23, 2019

A face-scanning algorithm increasingly decides whether you deserve the job; The Washington Post, October 22, 2019

Drew Harwell, The Washington Post; A face-scanning algorithm increasingly decides whether you deserve the job 

HireVue claims it uses artificial intelligence to decide who’s best for a job. Outside experts call it ‘profoundly disturbing.’

"“It’s a profoundly disturbing development that we have proprietary technology that claims to differentiate between a productive worker and a worker who isn’t fit, based on their facial movements, their tone of voice, their mannerisms,” said Meredith Whittaker, a co-founder of the AI Now Institute, a research center in New York...

Loren Larsen, HireVue’s chief technology officer, said that such criticism is uninformed and that “most AI researchers have a limited understanding” of the psychology behind how workers think and behave...

“People are rejected all the time based on how they look, their shoes, how they tucked in their shirts and how ‘hot’ they are,” he told The Washington Post. “Algorithms eliminate most of that in a way that hasn’t been possible before.”...

HireVue’s growth, however, is running into some regulatory snags. In August, Illinois Gov. J.B. Pritzker (D) signed a first-in-the-nation law that will force employers to tell job applicants how their AI-hiring system works and get their consent before running them through the test. The measure, which HireVue said it supports, will take effect Jan. 1."

Monday, February 19, 2018

AI ‘gaydar’ could compromise LGBTQ people’s privacy — and safety; Washington Post, February 19, 2018

JD Schramm, Washington Post; AI ‘gaydar’ could compromise LGBTQ people’s privacy — and safety

"The advances in AI and machine learning make it increasingly difficult to hide such intimate traits as sexual orientation, political and religious affiliations, and even intelligence level. The post-privacy future Kosinski examines in his research is upon us. Never has the work of eliminating discrimination been so urgent."