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Managing risk in machine learning

O'Reilly on Data

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.

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UK Government tests frictionless trade models with Ecosystem of Trust pilots

IBM Big Data Hub

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The models also reduce private sector customs data collection costs by 40%.

Testing 83
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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145
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How Insurance Companies Use Data To Measure Risk And Choose Rates

Smart Data Collective

Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics. Occupation.

Insurance 106
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Making the gen AI and data connection work

CIO Business Intelligence

Privacy protection The first step in AI and gen AI projects is always to get the right data. “In In cases where privacy is essential, we try to anonymize as much as possible and then move on to training the model,” says University of Florence technologist Vincenzo Laveglia. “A A balance between privacy and utility is needed.

Risk 138
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Ways in Which AI can Improve Enterprise Risk Management

bridgei2i

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model.

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OpenAI touts new approach to AI safety after troubling executive transfer

CIO Business Intelligence

OpenAI announced on Wednesday a new approach to AI development, one that it said “aligns models to behave safely without extensive human data collection,” although some have raised concerns about AI interacting with AI. This model guides the AI by signaling desirable actions.