TechCrunch: Three ways to avoid bias in machine learning

TechCrunch: Three ways to avoid bias in machine learning. “Because AI can help expose truth inside messy data sets, it’s possible for algorithms to help us better understand bias we haven’t already isolated, and spot ethically questionable ripples in human data so we can check ourselves. Exposing human data to algorithms exposes bias, and if we are considering the outputs rationally, we can use machine learning’s aptitude for spotting anomalies.”

EurekAlert: Can social media lead to labor market discrimination?

EurekAlert: Can social media lead to labor market discrimination? . “A new Journal of Economics & Management Strategy study investigates whether social media may be used as a source of information for recruiters to discriminate against job applicants. For the study, researchers set up an experiment that involved sending more than 800 applications from two fictitious applicants who differed in their cities of origin, a typical French town (Brives-la-Gaillarde) or Marrakesh, Morocco. This information is available only on their Facebook profiles, not on the resumes or the cover letters sent to recruiters. The investigators selected job openings published in over several months in mid-2012 on the French public agency for employment website Pôle emploi.”

Google Blog: A new course to teach people about fairness in machine learning

Google Blog: A new course to teach people about fairness in machine learning. “As [machine learning] practitioners build, evaluate, and deploy machine learning models, they should keep fairness considerations (such as how different demographics of people will be affected by a model’s predictions) in the forefront of their minds. Additionally, they should proactively develop strategies to identify and ameliorate the effects of algorithmic bias. To help practitioners achieve these goals, Google’s engineering education and ML fairness teams developed a 60-minute self-study training module on fairness, which is now available publicly as part of our popular Machine Learning Crash Course (MLCC).”

Techdirt: Louisiana’s Attorney General Wants To Break Up Google Over ‘Bias’

Techdirt: Louisiana’s Attorney General Wants To Break Up Google Over ‘Bias’. “The latest in this ridiculous political fight over the claimed, but not proven, ‘political bias’ found in search results and social media is that Louisiana’s Attorney General says we should break up the big internet companies because of it.”

CNET: Google CEO Sundar Pichai pens memo warning employees against bias

CNET: Google CEO Sundar Pichai pens memo warning employees against bias . “Google’s CEO sent a memo to employees Friday saying the company doesn’t engineer its services to privilege any political view and warning staff that anyone violating that policy will be taken to task, according to various media reports.”

Business Insider: The White House is considering an an antitrust investigation into ‘online platform bias’ at Google and Facebook

Business Insider: The White House is considering an an antitrust investigation into ‘online platform bias’ at Google and Facebook. “The White House has drafted a text of a proposed executive order for President Donald Trump that would trigger an antitrust investigation into Google and Facebook, according to Bloomberg.”