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Big Tech bankrolling AI ethics research and events seems very familiar. Ah, yes, Big Tobacco all over again


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Analysis + update Big tech s approach to avoiding AI regulation looks a lot like Big Tobacco s campaign to shape smoking rules, according to academics who say machine-learning ethics standards need to be developed outside of the influence of corporate sponsors.
In a paper included in the Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21) next month, Mohamed Abdalla, a doctoral student in computer science at the University of Toronto, and Moustafa Abdalla, a doctoral student on deferral from Harvard Medical School, explore how Big Tech has adopted strategies similar to those used by Big Tobacco.
The analogy is not perfect, the two brothers acknowledge, but is intended to provide a historical touchstone and to leverage the negative gut reaction to Big Tobacco’s funding of academia to enable a more critical examination of Big Tech. The comparison is also not an assertion that Big Tech is deliberately buying off researchers; rath ....

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Government data underestimates the impact of social distancing in controlling COVID-19 spread


Government data underestimates the impact of social distancing in controlling COVID-19 spread
Quantifying the mitigating impact of social distancing on the spread of COVID-19 is critical for evaluating the efficacy of social restrictions and informing future health policy decisions.
While most studies have used government stay-at-home dates in their models, new research finds that individuals actually changed their behavior in reaction to the presence of COVID-19 in their state a median 12 days before a government lockdown.
This underestimates the impact social distancing has in controlling the spread of the virus. The research, appearing in the
American Journal of Preventive Medicine, published by Elsevier, examines sociodemographic variables as well and finds that individual behavior across certain groups may partially account for the disproportionate impact of COVID-19 on vulnerable communities in the United States. ....

United States , Moustafa Abdalla , Emily Henderson , Harvard Medical School , American Journal , Preventive Medicine , Study Corresponding Author , Harvard Medical , ஒன்றுபட்டது மாநிலங்களில் , மௌஸ்த்பா அபிடேல்ல , எமிலி ஹென்டர்சன் , ஹார்வர்ட் மருத்துவ பள்ளி , அமெரிக்கன் இதழ் , ப்ரெவெஂடிவ் மருந்து , ஹார்வர்ட் மருத்துவ ,

State-reported data underestimate the true impact of COVID-19 social distancing


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IMAGE: States residential mobility over time with highlighted period of government stay-at-home order. The red line represents the state-wide mobility data generated by Google (a composite of all the counties within.
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Credit: American Journal of Preventive Medicine
Ann Arbor, December 10, 2020 - Quantifying the mitigating impact of social distancing on the spread of COVID-19 is critical for evaluating the efficacy of social restrictions and informing future health policy decisions. While most studies have used government stay-at-home dates in their models, new research finds that individuals actually changed their behavior in reaction to the presence of COVID-19 in their state a median 12 days before a government lockdown. This underestimates the impact social distancing has in controlling the spread of the virus. The research, appearing in the ....

United States , Moustafa Abdalla , Harvard Medical School , Ann Arbor , American Journal , Preventive Medicine , ஒன்றுபட்டது மாநிலங்களில் , மௌஸ்த்பா அபிடேல்ல , ஹார்வர்ட் மருத்துவ பள்ளி , ஆண்டு ஆர்பர் , அமெரிக்கன் இதழ் , ப்ரெவெஂடிவ் மருந்து ,