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Explaining Bias in Your Data

Dataiku

Over the last five years, unfairness in machine learning has gone from almost unknown to hitting the headlines frequently, and new cases of unwanted bias introduced in automated processes are frequently discovered. However, there is still no “one-size-fits-all” standard machine learning tool to prevent and assess such bias.

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CIOs grapple with the ethics of implementing AI

CIO

As AI pilots move toward production, discussions about the need for ethical AI are growing, along with terms like “fairness,” “privacy,” “transparency,” “accountability,” and the big one —”bias.” What’s the plan if customers are presented with false data, or if critical decisions are based on inaccurate AI responses?

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Diversity and inclusion: 7 best practices for changing your culture

CIO

And the murder of George Floyd — and the social unrest that followed — made it clear that taking a stand around social justice is necessary to recruitment, retention, and even the viability of your brand. Did they get promoted and build diversity in your management team? Much of the disappointment is not with recruitment, however.

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6 tough AI discussions every IT leader must have

CIO

Here are the central AI conversations you should be having with your teams, line-of-business leaders, C-suite colleagues, and the board. Few technologies have provoked the same amount of discussion and debate as artificial intelligence, with workers, high-profile executives, and world leaders waffling between praise and fears over AI.

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Resiliency, the Edge, and the Future of AI: A Conversation with SAS CTO Bryan Harris

CIO

Q: What is your advice to technology leaders for improving organizational resiliency? A: Right now, we are all in a race against disruption and data. So, how do you establish a data-driven culture to identify and adapt to change? Or, in other words, what is the learning rate of your organization?

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Women IT leaders take center stage

CIO

But for true recognition, you have to have a presence beyond your company,” says Balaban, who has had multiple senior-level IT positions and was most recently a director in the Office of the CIO at waste management company Covanta. She considered her commitments to PMI as a way to give back to her professional community.

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Aquarium scores $2.6M seed to refine machine learning model data

TechCrunch

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Here’s what I need to go and retrain my model on and analyze it for errors and repeat that iteration cycle,” Gao explained. The Aquarium team.