ML News Monthly – Dec 2021

Welcome to the eleventh edition of ML News Monthly – Dec 2021!!

Here are the key happenings this month in the Machine Learning field that I think are worth knowing about. 🕸

AI Politics

Crime Prediction Software Disproportionately Targeted Low-Income, Black, and Latino Neighborhoods

An independent investigation found evidence of racial and economic bias in a crime-prevention model created by Geolitica and used by police departments in at least nine U.S. states.

Over 70 U.S. law enforcement jurisdictions use Geolitica’s service, and it is used in other countries as well. Yet this report is the first independent analysis of the algorithm’s performance based on internal data.

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AI in the News

What Makes TikTok Tick

A leaked document gave reporters a glimpse of what makes TikTok’s renowned recommender algorithm so effective.

An internal report produced by TikTok’s Beijing-based engineering team for nontechnical colleagues describes the short-form video streaming platform’s formula for recommending videos to particular users, according to The New York Times.

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Timnit Gebru Launches Independent AI Research Institute On Anniversary of Ouster from Google

The Distributed AI Research Institute will create space for independent, community-rooted AI research free from Big Tech’s pervasive influence.

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AI Applications

2021 was a breakthrough year for AI

A quick look back at the milestones that shaped the AI space over the past 12 months.

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A look back at recent AI trends — and what 2022 might hold –

NLP is the heart of the intelligent enterprise

The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months. This is due in large part to the rise of chatbots and intelligent assistants in call centers, help desks, kiosks, and other customer support applications, but these are hardly the only ways to apply NLP.

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Google’s AI communication tool for people with speech impairments

Project Relate is an Android app that offers a personalized speech recognition model for people whose speech is impaired or otherwise atypical. It’s designed to understand, transcribe, and synthesize speech for both person-to-person and person-to-machine interactions.

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Also, Apple is training Siri to recognize words spoken by people who stutter using audio clips of stuttered speech –

AI Research

Deep learning can predict how patients will respond to two antidepressant medicines

Patients with depression show various patterns of depressed brain activity in brain scans. At the same time, they vary in their reported responses to different drugs. Given brain scans of depressed people and their reports of effective treatment, a neural network can learn to match patients with medications likely to relieve their symptoms.


Reduced false positives in autism screening via digital biomarkers

Researchers led by Ishanu Chattopadhyay at University of Chicago developed a system that classified autism in young children based on data collected during routine checkups.

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That’s it !!

Let me know if I missed anything or if there’s anything you think should be included in a future post.