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The Challenge of Bias in AI – Creating Ethical Guidelines

Thales Cloud Protection & Licensing

Acknowledging that need, this blog post will explain the challenge of taking steps to eliminate bias in AI using ethics. Artificial intelligence (AI) is becoming increasingly integral to information security. All of the findings presented above assume that organizations can implicitly trust the results of their AI-powered security solutions.

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Data Analytics and Human Heuristics: How to Avoid Making Poor Decisions

Bill Schmarzo - Dell EMC

Given how much I love Michael Lewis’ work (his book “ Moneyball ” is still my favorite data science introduction book), I couldn’t wait to dive into this one! It tries to model real-life choices, rather than optimal decisions, as normative models do. The model is descriptive. This heuristic is used because it is an easy computation.

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The importance of STEM and Digital Skills

CGI

Filling this gap is rooted in STEM subjects – science, technology, engineering, and mathematics. Can Scotland do more to attract individuals to relocate to Scotland at different stages in their careers? How do we support our mid level talent to take on more senior roles? There is also a mid level challenge.

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Glitch in the Matrix – The Vital Role of Communication Between All Stakeholders in eDiscovery: eDiscovery Best Practices

eDiscovery Daily

In this day and age, where data hacks and cyber-espionage are no longer the realm of near-future science fiction, cries of a conspiracy were quickly sounded. For more information on how CloudNine manages communications for our clients, contact us at info@ediscovery.co. It seems a similar issue is what happened with the FBI’s phones.

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"The Information" by James Gleick

John Battelle's Searchblog

Not only did The Information speak to the theme of the conference this year ( the Data Frame ), I also knew Gleick, one of science's foremost historians and storytellers, would have a lot to say to our industry. And perhaps most vexing is this: "What is Information, anyway?". I think ).

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Data Analytics and Human Heuristics: How to Avoid Making Poor Decisions

Bill Schmarzo - Dell EMC

Given how much I love Michael Lewis’ work (his book “ Moneyball ” is still my favorite data science introduction book), I couldn’t wait to dive into this one! It tries to model real-life choices, rather than optimal decisions, as normative models do. The model is descriptive. This heuristic is used because it is an easy computation.

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Archive-It Partner News, September 2018

Archive-It

In case you missed it: the half-day program included reports out from partners applying new metadata profiles and workflows, coordinating among inter-agency government record retention programs, and breakout discussions of half-a-dozen technology and planning topics. Missed meeting up in DC? Cobweb call for participation and metadata.