AI Knowledge, Chinese Database, Racial Diversity, Data Institutions, Time Dependency and COVID-19 Infections

This week we begin with an article on a shift in the landscape of Artificial Intelligence from data to knowledge, due to advancements in data exchange. Next, we have a story about a leaked Chinese database that houses personal details of Millions of people worldwide and includes the Chinese Military and the Communist Party as its users. The following article is on the lack of access to data on racial diversity in US companies by ESG (Environmental, Social and Corporate Governance) investors. Then, we have a piece that highlights the importance of data institutions in creating and maintaining data infrastructure for solving social problems. Following this, we have included a working paper by Harvard Business School that analyses the impact of time-dependency on the relevance and usefulness of datasets. To end, we have an interview audio clip that decodes the data related to the rise in COVID-19 infections and allay fear of the second wave of infections.

The AI landscape is shifting from ‘data’ to ‘knowledge.’ Here’s why that matters

The Artificial Intelligence (AI) revolution was ignited more than half a century ago. In the last decade, AI has grown from an academic scientific field to start being a practical part of our everyday lives. The most common AI business strategies we see are built around data. 

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Chinese Database Contained Personal Details Of Millions, Including U.S. Citizens

A Chinese tech company linked to the country’s military appears to have been violating the privacy of millions of people worldwide by compiling loads of their personal information. The leak revealed that citizens in the United States, UK, Australia, Canada, India, and Japan were all subjects of this mass surveillance.

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‘Invaluable’ database helps solve mystery of how genes are regulated

When the human genome was sequenced almost 20 years ago, many researchers were confident they’d be able to quickly home in on the genes responsible for complex diseases such as diabetes or schizophrenia.

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ESG Investors Note Lack of Data on Diversity

What’s happening? Companies in the US are better than their European or Asian counterparts at compiling data on racial diversity for ESG investors but remain reluctant to share this information, according to analysts.S&P Global said only one-third of the firms it assesses actually made such data public, while in some culture discussions of race and ethnicity are deemed taboo.

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Data institutions play critical role in solving global social problems

Effectively collecting, using and sharing data on a global scale is playing a vital role in helping governments, businesses and communities respond to the pandemic. The GovLabs of collaborative projects shows organizations coming together to share information on all aspects of the crisis, from infection rates to personal protective equipment (PPE) availability, movement in cities to economic impacts.

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Time and the Value of Data

This paper investigates the effectiveness of time-dependent data in improving the quality of AI-based products and services. Time-dependency means that data loses its relevance to problems over time. This loss causes deterioration in the algorithm’s performance and, thereby, a decline in created business value. 

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James Ferguson: How bad data is driving fear of a second wave of Covid-19

Merryn and John talk to MoneyWeek regular James Ferguson about the rise in infections in coronavirus and what the data is really telling us.

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Source:  https://bit.ly/2FSdIng

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