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Tag: transparency

COVID Data Report Card: Mixed Results for Public Health

Feb 12, 2021 |

Throughout the coronavirus pandemic, the importance of “following the data” has been emphasized repeatedly, and for good reason: It provides the best chances for us to minimize the harm caused by COVID-19. Read more…

Governance, Privacy, and Ethics at the Forefront of Data in 2021

Jan 21, 2021 |

As we continue to gear up 2021, it’s hard to envision the topics of data governance, privacy, and ethics not becoming more pressing topics for companies. While the rewards of using data are great, so too are the risks connected with abusing, losing, and misusing data, and those risks are becoming ever more clear. Read more…

The Maturation of Data Science

Nov 25, 2020 |

Data science used to be somewhat of a mystery, more of a dark art than a repeatable, scientific process. Companies basically entrusted powerful priests called data scientists to build magical algorithms that used data to make predictions, usually to boost profits or improve customer happiness. Read more…

IBM To Stop Selling Facial Recognition Technology

Jun 9, 2020 |

In a nod to the national discussion on racial equality and law enforcement, IBM CEO Arvind Krishna yesterday announced that IBM will no longer sell facial recognition technology. He also called for greater transparency in use of body cameras worn by police and warned about the dangers of bias in AI systems used by law enforcement. Read more…

Only Intelligent Data Can Power Artificial Intelligence

May 9, 2019 |

Our rapidly growing mastery of artificial intelligence has the potential to address society’s thorniest problems. But time and again, AI-powered projects have failed the test of fairness as algorithms have amplified the social, ethnic, and gender biases inherent in their data. Read more…

Advice to AI Startups: Lift Veil on Algorithms

Aug 14, 2017 |

The hardheaded folks who advise investors on what technologies show promise and which are mostly smoke and mirrors are beginning to weigh in on much-hyped approaches such as machine learning. Read more…

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