#Awesome
“For the 285 million people around the world living with blindness or low vision, exercising independently can be challenging. Earlier this year, [Google] announced Project Guideline, an early-stage research project, developed in partnership with Guiding Eyes for the Blind, that uses machine learning to guide runners through a variety of environments that have been marked with a painted line. Using only a phone running Guideline technology and a pair of headphones, Guiding Eyes for the Blind CEO Thomas Panek was able to run independently for the first time in decades and complete an unassisted 5K in New York City’s Central Park.” — Xuan Yang, Software Engineer, Google Research Learn More from Google AI >
#Not Awesome
“…In many instances, instead of your application being tossed aside by a HR professional, it is actually artificial intelligence that is the barrier to entry. While this isn’t a problem in itself — AI can reduce workflow by filtering applicants rapidly — the issue is that within these systems lies the possibility of bias.
It is illegal in the U.S. for employers to discriminate against a job applicant because of their race, color, sex, religion, disability, national origin, age (40 or older) or genetic information. However, these AI hiring tools are often inadvertently doing just that, and there are no federal laws in the U.S. to stop this from happening.” — Lydia Veljanovski, Reporter Learn More from Newsweek >
1/ Twitter gives the power back to end users when cropping their photos after findings revealed gender and racial bias in their image cropping AI. Learn More from BBC >
2/ Anesthesiologists to use machine learning technology in order to measure unconsciousness in patients under anesthesia, allowing them to optimize drug doses. Learn More from HealthITAnalytics >
3/ Several law enforcement agencies are still relying on facial recognition software despite evidence showing that the technology may be less accurate when identifying people of color. Learn More from CNN >
4/ Data shows that the AI is just as successful as a dermatologist and more accurate than primary case physicians and nurses when identifying 26 skin conditions. Learn More from Fast Company >
5/ Former journalists are using machine learning to flag potential libel prior to publishing. Defamation lawsuits are increasingly expensive for newsrooms to combat and may continue to loom large as Congress continues to push for Section 230 reform, potentially holding companies responsible for the content their users post. Learn More from WIRED >
6/ Google researchers have published a proposal that would replace page rank based search results with AI-driven direct answers. This approach would likely lean on something like GPT-3, a language model that uses deep learning in order to create human-like text, which may or may not be building off of trustworthy information. Learn More from MIT Technology Review >
7/ Researchers begin working together to gain deeper understanding of the potential pitfalls of language AI. This comes as large companies like Facebook continue to lean on the technology for content moderation despite its potential for racial and gender bias. Learn More from MIT Technology Review >
If you’re interested in following along in realtime, seeing the articles we read throughout the week, and chatting about the implications of artificial intelligence and machine learning…join our slack community! (we’ll be chatting in the #machine-learnings channel. Come say hi!) 🤖
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