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Scoop.it!
How should companies begin to think about ethical data management? What measures can they put in place to ensure that they are using consumer, patient, HR, facilities, and other forms of data appropriately across the value chain—from collection to analytics to insights? 
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In NewVantage Partners 2019 Executive Survey, more than half of executives — 55.7% — pointed to data ethics as a top business priority.
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Discussions of ethics in data science and artificial intelligence are all well and good, but they won't go anywhere if the prime directive is making massive profits for venture capitalists.
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Mastercard and The Rockefeller Foundation are funding a new data-driven model for collaborative philanthropy to the tune of $50 million.
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Lawmakers will have to balance ways companies can use data with people’s rights of privacy
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Artificial intelligent technologies are complex data processing systems that pose several ethical challenges. We should consider the data intensity of these technologies and find solutions to the ethical implications in legislation, design and society in general.
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Organizations are increasingly under pressure to protect customer data and ensure it is used responsibly. To hold themselves accountable, companies need a formalized data program.
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How data trusts, collaboratives & coops can help govern data for maximum public benefit
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As the capabilities of Artificial Intelligence (AI) grow more powerful, we are concerned the data science community is unprepared for the power we now wield.
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Most people would be rightly excited by the prospect of artificial intelligence automating all facets of our lives. But with machines' increasing ability to mine personal data, collate that data and draw conclusions about behavior, is the sacrifice of privacy and control something people would be willing to give up?
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Data ethics is not a subject that you would have expected to be a centerpiece of conversation among Chief Data Officers and senior business leaders in the recent past. However, times are changing.
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