Mar 17, 2021

6 Posts

Facebook's Algorithms Under Fire, Voice Clones Invade Entertainment, Old Drugs Fight New Illnesses, Auditors Assess AI
Mar 17, 2021

Facebook's Algorithms Under Fire, Voice Clones Invade Entertainment, Old Drugs Fight New Illnesses, Auditors Assess AI

Over the past weekend, I happened to walk by a homeless encampment and went over to speak with some of the individuals there. I spoke with...
12 min read
Facebook like and dislike buttons
Mar 17, 2021

Social Engagement vs. Social Good

Facebook’s management obstructed the architect of its recommendation algorithms from mitigating their negative social impact. The social network focused on reining in algorithmic bias against particular groups of users at the expense of efforts to reduce disinformation.
2 min read
Data related to DeepCE, a system designed to predict how particular drugs will influence the amounts of RNA
Mar 17, 2021

Old Drugs for New Ailments

Many medical drugs work by modulating the body’s production of specific proteins. Recent research aimed to predict this activity, enabling researchers to identify drugs that might counteract the effects of Covid-19.
2 min read
Operation of a hiring software which evaluates candidates through simple interactive games
Mar 17, 2021

Who Audits the Auditors?

Auditing is a critical technique in the effort to build fair and equitable AI systems. But current auditing methods may not be up to the task. There’s no consensus on how AI should be audited, whether audits should be mandatory, and what to do with their results.
1 min read
Homer Simpson talking to Anakin Skywalker in a clip from Star Wars: The Phantom Menace.
Mar 17, 2021

Your Words, Their Voices

Voice clones — the audio counterpart to deepfaked images — are poised to invade popular media and entertainment. Professionals and amateurs alike are using AI to emulate the voices of human actors, Wired reported.
2 min read
Graphs and data related to ReLabel, a technique that labels any random crop of any image.
Mar 17, 2021

Good Labels for Cropped Images

In training an image recognition model, it’s not uncommon to augment the data by cropping original images randomly. But if an image contains several objects, a cropped version may no longer match its label. Researchers developed a way to make sure random crops are labeled properly.
2 min read

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