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How an AI startup is trying to fix gender bias in workplace

#artificialintelligence

When Katica Roy returned to work after the birth of her daughter, her supervisor asked her to take on two new teams, tripling her workload in a matter of two weeks without additional pay or a promotion. Meanwhile, management asked a male colleague to take on one extra team. With his new responsibilities came a promotion and more pay. In order to get the pay equity due her, Roy notified her human resources team about the Lilly Ledbetter Act, a federal law that helps pay practices are non-discriminatory and fair, without gender or other bias, by making it easier to file equal-pay lawsuits. While she ended up succeeding in her gender bias protest, the process led Roy to found and become CEO of Pipeline Equity, a SaaS vendor that uses cloud-based AI, machine learning and natural language processing (NLP) technology to improve the financial performance of its users by trying to close the gender equity gap.


Warnings grow louder over cryptocurrency as valuations soar

The Guardian

Joe Kennedy, patriarch of the Kennedy clan, said he knew it was time to exit the stock market after a shoeshine boy gave him stock tips. If everyone thinks it's time to buy, it's time to sell, reasoned Kennedy. Then came the great crash of 1929 to prove him right. Perhaps some of that thinking could be applied today to the digital currency bonanza. In recent months, warning voices have grown louder as the digital assets known as cryptocurrencies have attained record valuations.


Irene L. posted on LinkedIn

#artificialintelligence

Individually or combined, these patterns expedite AI #DigiTransform projects. They help #companies set AI goals quickly, with much better chance of #success.


Home Affairs denies mass surveillance capabilities of face-matching database

ZDNet

The Department of Home Affairs has told a Parliamentary Joint Committee on Intelligence and Security that the government's identity-matching capability could not be used for mass surveillance, as its technical specs simply would not allow for it. "The services enabled by the legislation are not intended to provide agencies with mass surveillance capabilities. Indeed, the technical design of the system could not facilitate this ... as it requires users to input a single still image at a time to conduct a query," Acting First Assistant Secretary at Home Affairs' Identity and Biometrics Division Andrew Rice told the committee on Friday, ahead of the departmental leadership change. "It can't be connected directly to a live CCTV feed. Even if the agencies attempted to circumvent this by conducting multiple queries in close succession, the way the service operates makes it implausible that agencies could do this to support real-time identification of multiple individuals within a crowd, for example."


Jet-Lag Sleep App is a Viable Way to Collect Big Data

#artificialintelligence

Can scientists trust a mobile app as a reliable vehicle for collecting health data? A study published today in Science Advances suggests the answer is yes, it's possible, at least for sleep studies. Researchers have for years been eyeing the trove of health data sets that could be collected via mobile apps. Cheap to build and easy to distribute, apps can make recruitment of massive, global study populations possible on a grad student–like budget. But the reliability of that kind of data is still largely unproven, and presents a risk for scientists.