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Tag: bias

SageMaker Bolstered with Better Controls, AI Governance

AWS yesterday unveiled a host of enhancements for Amazon SageMaker, its end-to-end machine learning offering. Among the most prominent capabilities are a collection of new governance tools aimed at keeping ML projects on Read more…

Europe’s New AI Act Puts Ethics In the Spotlight

AI ethics issues such as bias, transparency, and explainability are gaining new importance as the European Union marches towards implementation of the AI Act, which would effectively regulate the use of AI and machine le Read more…

Fighting Harmful Bias in AI/ML with a Lifelong Approach to Ethics Training

Today, artificial intelligence and machine learning technologies influence and even make some of our decisions, from which shows we stream to who is granted parole. While these are sophisticated use cases, they represent Read more…

Organizations Struggle with AI Bias

As organizations roll out machine learning and AI models into production, they’re increasing cognizant of the presence of bias in their systems. Not only does this bias potentially lead to poorer decisions on the part Read more…

You’ve Been Warned–Bad Data Models are Capable of Destroying Companies

The field of data science has already delivered incredible results in finding business problems and creating models which generate market insights. But bad or failing models can also deliver erroneous results which can d Read more…

New Law Would Create a Federal Data Protection Agency

Earlier this month, U.S. Senator Kirsten Gillibrand submitted a bill called the Data Protection Act of 2021 that would seek to protect citizen’s data, safeguard their privacy, and ensure data practices are fair and tra Read more…

Achieving Data Literacy: Businesses Must First Learn New ABCs

Do you speak data? That’s the essential question Gartner poses to data and analytics leaders in promoting data literacy, “the ability to read, write and communicate data in context, including an understanding of data Read more…

To Bridge the AI Ethics Gap, We Must First Acknowledge It’s There

Companies are adopting AI solutions at unprecedented rates, but ethical worries continue to dog the roll outs. While there are no established standards for AI ethics, a common set of guidelines is beginning to emerge to Read more…

A Nutrition Label for AI

It can be difficult to understand exactly what’s going on inside of a deep learning model, which is a real problem for companies concerned about bias, ethics, and explainability. Now IBM is developing something called Read more…

Will Analytics Help Reduce Our Biases or Amplify Them?

This year has brought the challenges of racism and biases into full light with the murder of another unarmed black person, George Floyd, at the hands of police. We have now seen demonstrations in communities far and wide Read more…

In Automation We Trust: How to Build an Explainable AI Model

As AI becomes more advanced and complex, the algorithms and logic powering it become less transparent. This lack of clarity can be unnerving for some people. Recent high-profile AI failures illustrate this. For example, Read more…

Tool Links Donors with Pandemic-Ravaged Communities

On Monday, April 13, Datanami posted a press release about a new big data platform designed to “evaluate the capacity of nonprofit service providers to meet the needs of local communities” during the COVID-19 pandemi Read more…

New Law Firm Tackles AI Liability

If you’re not concerned about the potential legal liability from using AI, then you’re not paying attention. That’s the message from Andrew Burt, one of the founders of BNH.ai, a boutique law firm that’s dedicate Read more…

AI Bias a Real Concern in Business, Survey Says

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by Dat Read more…

USF Launches Data Ethics Center

Ethical AI remains a high priority as developers pause to consider the implications of the automation tools they are creating. A more granular approach is being taken by the University of San Francisco’s Data Institute Read more…

Only Intelligent Data Can Power Artificial Intelligence

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 th Read more…

Do Amazon’s Biased Algorithms Spell the End of AI in Hiring?

Amazon recently cancelled an AI-driven recruiting program after it was discovered that it led to bias in hiring recommendations. But does that mean that machine learning has no role in human resources? The data, as you m Read more…

Three Ways Biased Data Can Ruin Your ML Models

Machine learning provides a powerful way to automate decision making, but the algorithms don't always get it right. When things go wrong, it's often the machine learning model that gets the blame. But more often than not Read more…

Who Controls Our Algorithmic Future?

The accelerating pace of digitization is bringing real, tangible benefits to our society and economy, which we cover daily in the pages on this site. But increased reliance on machine learning algorithms brings its own u Read more…

Trump Victory: How Did the National Polls Get It So Wrong?

As Donald Trump celebrates his stunning victory in last night's presidential election, professional pollsters are waking up and asking themselves: How did we get it so wrong? Nearly all the national polls showed Hilla Read more…

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