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Google Grapples with Ethical AI – The New Stack

When Google fired Timnit Gebru, technical co-lead of its ethical artificial intelligence team last year, amid controversy over a paper she was co-authoring with academics and other Google researchers, the company unleashed a firestorm of criticism of the bias apparently shown by its own management, its apparent defensiveness about potential flaws in the AI underpinning its core search service and even the role of corporate research in the field of artificial intelligence as a whole. Can Google get comfortable with the necessary but uncomfortable questions research has to raise? Gebru’s paper asked some possibly uncomfortable questions about very large language models like the ones used by Google search.

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Can auditing eliminate bias from algorithms?

Can auditing eliminate bias from algorithms? Shares For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan â even who has priority for COVID-19 vaccines. Rather than remove bias, one algorithm after another has codified and perpetuated it, as companies have simultaneously continued to more or less shield their algorithms from public scrutiny. The big question ever since: How do we solve this problem? Lawmakers and researchers have advocated for algorithmic audits, which would dissect and stress-test algorithms to see how they work and whether theyâre performing their stated goals or producing biased outcomes. And there is a growing field of private auditing firms that purport to do just that. Increasingly, companies are turning to these firms to review their algorithms, particularly when theyâve faced criticism for biased outcomes

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Amazon is using AI-equipped cameras in delivery vans and some drivers are concerned about privacy

Amazon is using AI-equipped cameras in delivery vans and some drivers are concerned about privacy CNBC 4/02/2021 Annie Palmer Amazon has begun rolling out AI-enabled cameras from Netradyne in vehicles at a handful of contracted delivery partners across the U.S., CNBC has learned. The cameras record drivers 100% of the time while they re on their route and flag a series of safety infractions, including failure to stop at a stop sign, speeding and distracted driving. Amazon says the cameras will help it improve safety in its delivery network, but drivers and experts have raised concerns about the potential for heightened employee surveillance and a lack of privacy.

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The Capitol siege and facial recognition technology

In a recent New Yorker article about the Capitol siege, Ronan Farrow described how investigators used a bevy of online data and facial recognition technology to confirm the identity of Larry Rendall Brock Jr., an Air Force Academy graduate and combat veteran from Texas. Brock was photographed inside the Capitol carrying zip ties, presumably to be used to restrain someone. (He claimed to Farrow that he merely picked them up off the floor and forgot about them. Brock was arrested Sunday and charged with two counts.) Advertisement Even as they stormed the Capitol, many rioters stopped to pose for photos and give excited interviews on livestream. Each photo uploaded, message posted, and stream shared created a torrent of data for police, researchers, activists, and journalists to archive and analyze. Known as open-source investigation, or OSINT for short, this is a relatively new development in security. Organizations like Bellingcat carry out detailed digital investigations using the

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Sombra aquí, sombra allá: reconocimiento facial discriminatorio

Sombra aquí, sombra allá: reconocimiento facial discriminatorio
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