Showing posts with label ethical AI. Show all posts
Showing posts with label ethical AI. Show all posts

Thursday, June 29, 2023

Buolamwini: Optimistic About Using Ethical AI Systems; Bloomberg, June 27, 2023

Bloomberg; Buolamwini: Optimistic About Using Ethical AI Systems

"Algorithmic Justice League founder and MIT AI Researcher Joy Buolamwini recently sat down with President Biden in a closed door meeting about AI. She joins Ed Ludlow to discuss her meeting and the rise of the AI hype, what the tech industry is getting right and wrong, and the need for AI regulation."

Thursday, April 4, 2019

Google’s brand-new AI ethics board is already falling apart; Vox, April 3, 2019

Kelsey Piper, Vox; Google’s brand-new AI ethics board is already falling apart

"Of the eight people listed in Google’s initial announcement, one (privacy researcher Alessandro Acquisti) has announced on Twitter that he won’t serve, and two others are the subject of petitions calling for their removal — Kay Coles James, president of the conservative Heritage Foundation think tank, and Dyan Gibbens, CEO of drone company Trumbull Unmanned. Thousands of Google employees have signed onto the petition calling for James’s removal.

James and Gibbens are two of the three women on the board. The third, Joanna Bryson, was asked if she was comfortable serving on a board with James, and answered, “Believe it or not, I know worse about one of the other people.”

Altogether, it’s not the most promising start for the board.

The whole situation is embarrassing to Google, but it also illustrates something deeper: AI ethics boards like Google’s, which are in vogue in Silicon Valley, largely appear not to be equipped to solve, or even make progress on, hard questions about ethical AI progress.

A role on Google’s AI board is an unpaid, toothless position that cannot possibly, in four meetings over the course of a year, arrive at a clear understanding of everything Google is doing, let alone offer nuanced guidance on it. There are urgent ethical questions about the AI work Google is doing — and no real avenue by which the board could address them satisfactorily. From the start, it was badly designed for the goal — in a way that suggests Google is treating AI ethics more like a PR problem than a substantive one."

Monday, March 4, 2019

Is Ethical A.I. Even Possible?; The New York Times, March 1, 2019

Cade Metz, The New York Times; Is Ethical A.I. Even Possible?

"As activists, researchers, and journalists voice concerns over the rise of artificial intelligence, warning against biased, deceptive and malicious applications, the companies building this technology are responding. From tech giants like Google and Microsoft to scrappy A.I. start-ups, many are creating corporate principles meant to ensure their systems are designed and deployed in an ethical way. Some set up ethics officers or review boards to oversee these principles.

But tensions continue to rise as some question whether these promises will ultimately be kept. Companies can change course. Idealism can bow to financial pressure. Some activists — and even some companies — are beginning to argue that the only way to ensure ethical practices is through government regulation."

Tuesday, January 15, 2019

Data Sheet—How the Tech Industry Needs to Evolve to Care More About People; Fortune, January 14, 2019

Aaron Pressman and Adam Lashinsky, Fortune; Data Sheet—How the Tech Industry Needs to Evolve to Care More About People

"Good morning from Redmond, Wash., where I’m spending the day soaking up some wisdom at Microsoft.

In preparation for my day I perused this “top 10 tech issues for 2019” post that Microsoft President Brad Smith wrote on LinkedIn, which Microsoft owns. I somehow expected this list to focus on the top commercial aspects of tech in the coming year. But that’s not what Smith, Microsoft’s top lawyer and policy executive who has written recently on the need for regulations around facial recognition, means by “issues.”

Instead, Smith is focused on the interplay between big technology companies and society. Topics like privacy, ethical artificial intelligence, protectionism, “disinformation,” and the human impacts of technology top his list.

The technology industry has been branded over the years as not caring all that much about people. Even the industry’s leading humanist, Steve Jobs, ultimately judged the success of his wares by whether they delighted customers, not if they were good for society. The industry is evolving.

I’ll share what I learn tomorrow."

Tuesday, March 6, 2018

Here’s how Canada can be a global leader in ethical AI; The Conversation, February 22, 2018

The Conversation;    Here’s how Canada can be a global leader in ethical AI

"Putting Canada in the lead

Canada has a clear choice. Either it embraces the potential of being a leader in responsible AI, or it risks legitimating a race to the bottom where ethics, equity and justice are absent.
Better guidance for researchers on how the Canadian Charter of Rights and Freedomsrelates to AI research and development is a good first step. From there, Canada can create a just, equitable and stable foundation for a research agenda that situates the new technology within longstanding social institutions.
Canada also needs a more coordinated, inclusive national effort that prioritizes otherwise marginalized voices. These consultations will be key to positioning Canada as a beacon in this field.
Without these measures, Canada could lag behind. Europe is already drafting important new approaches to data protection. New York City launched a task force this fall to become a global leader on governing automated decision making. We hope this leads to active consultation with city agencies, academics across the sciences and the humanities as well as community groups, from Data for Black Lives to Picture the Homeless, and consideration of algorithmic impact assessments.
These initiatives should provide a helpful context as Canada develops its own governance strategy and works out how to include Indigenous knowledge within that.
If Canada develops a strong national strategy approach to AI governance that works across sectors and disciplines, it can lead at the global level.