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The article discusses the possible contribution of the algorithm of social media platform TikTok to the February 2022 death of then 16-year-old Chase Nasca of New York due to suicide. Topics explored include the TikTok videos about depression and death that Nasca may have watched prior to his death, the design of TikTok's algorithm which recommends user-created content to viewers, and the studies which investigated the potential correlation between social media and depression among teenagers.

The researchers, part of a group of computer-savvy historians who call themselves the Decrypt Project, have spent the past decade poring over manuscripts from European archives, trying to solve hidden messages. (Bloomberg Businessweek) -- More than 400 years ago, Mary, Queen of Scots was imprisoned in an English castle on charges that she'd conspired against Queen Elizabeth I, her cousin. [Extracted from the article]

A recent paper by Tobias Berg of the Frankfurt School of Finance and Management in Germany and his collaborators showed that a person's digital footprint can be as predictive of financial behavior as a credit score. This pretty much rings all the default bells in the Berg model; I'm clearly not the only person with a high credit rating who does: The Berg paper says the model's results are weakly correlated with credit scores. I'd be lucky if the financial services provider that used a model that was similar to Berg's also looked at my credit score and relied on it more than on the big data signals. [Extracted from the article]

(Bloomberg Opinion) -- Researchers Are Pushing Bias Out of Algorithms: Ariel Procaccia AI Researchers Are Pushing Bias Out of Algorithms. [Extracted from the article]

The article reports that researchers are using artificial intelligence algorithms to comb through the records of patient who suffered lung failure or sepsis and mentions views of Eric Horvitz, a research director at tech firm Microsoft Corp., on same. Topics discussed include clinical trials on machine learning technology used by Parkland Hospital, research paper on an AI system published by technology firm Google and need of new sources of information to be integrated into doctors.

(Bloomberg Businessweek) -- Hospital Algorithms Scan Patient Data to Prevent Death Spirals Hospitals collect all manner of data on patients, from doctors' notes to test results to measurements such as pulse and blood pressure. Google in May published a research paper on an AI system it built to gather vast amounts of patients' medical data - almost 50 billion pieces - and provide a score of how likely a patient is to die soon. [Extracted from the article]

Looks at the program called Mathematica designed by Stephen Wolfram. Description of the program and its uses; How earnings from the program have enabled Wolfram to fund his independent research projects and to publish his book entitled "A New Kind of Science"; Effect of criticism of the book on Wolfram; His creation of a Web site called WolframTones.

(Bloomberg Businessweek) -- Chinese Researchers Hone Algorithms to Predict Your Travel Plans Chinese Researchers Hone Algorithms to Predict Your Travel Plans. [Extracted from the article]

(Bloomberg View) -- Algorithms Can Be Pretty Crude Toward Women: Cathy O'Neil This is a cousin of an algorithm that profiles people via access to their Facebook accounts, some version of which was used last year by the software company Cambridge Analytica to help them sway U.S. voters. [Extracted from the article]

(Bloomberg View) -- Compliance Algorithms Can Make JPMorgan Be Less Bad: Matt Levine The most unhinged fantasies of big-bank evil do not encompass a PowerPoint slide weighing the costs and benefits, from a bonus and/or return-on-equity perspective, of not committing any more fraud. In particular the FX fines look much bigger than the banks' profits from FX manipulation, but (1) their profits may not correctly measure the costs they imposed and (2) I have no way of measuring their ex ante probability of getting caught. [Extracted from the article]

The article reports that high-frequency traders who adapt faster technology, doesn't necessarily earn the maximum profit in the deals. It states that advantages of speed are starting to dissipate and high-frequency traders have gotten so fast that they seem to outrun their own profitability, because exchanges haven't kept pace with the high-frequency traders.

This section focuses on several research of interest in the business sector. Professors Oded Berman, Opher Baron and Dmitry Krass, of the University of Toronto's Joseph L. Rotman School of Management formulated a complex algorithm to help planners balance consumer wait time with budget. J. Lamar Pierce, assistant professor of Strategy at Olin Business School at Washington University in St. Louis, and his team reviewed the data collected by large states when testing vehicles to address automobile emissions cheating.