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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

Most notably, The Future of Life Institute published an open letter calling for an immediate pause in advanced AI research , asking: “Should we let machines flood our information channels with propaganda and untruth? Should we risk loss of control of our civilization?” The hand wringing soon began.

Metrics 284
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How Private Equity Firms Can Manage Uncertainty With Scenario Modeling

Jedox

In the face of unprecedented uncertainty, the question is how to quickly evaluate risk, opportunities and competitively allocate capital. To understand the marginal impact of changes you need an analytical framework that measures shifts from baseline scenarios. In the face of uncertainty, investor relations are paramount.

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Humans and AI: How Should You Talk About AI? Be Positive or Give Warnings?

DataRobot

After Banjo CEO Damien Patton was exposed as a member of the Ku Klux Klan, including involvement in an anti-Semitic drive-by shooting, the state put the contract on hold and called in the state auditor to check for algorithmic bias and privacy risks in the software. The good news was the software posed less risk to privacy than suspected.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

Surely there are ways to comb through the data to minimise the risks from spiralling out of control. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. Systems should be designed with bias, causality and uncertainty in mind. We need to get to the root of the problem.

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How CFOs Can Lead With Foresight

Jedox

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. The unprecedented uncertainty forced companies to make critical decisions within compressed time frames. This post was first published on FutureCFO. Conclusion.

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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

They are afraid of failure and the uncertainty of knowledge work, and so that’s stressful. Agile is an amazing risk management tool for managing uncertainty, but that’s not always obvious.” The key is recognizing that planning must be an agile discipline, not a standalone activity performed independently of agile teams.