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Tag Archives | AI

digital-transformation-for-growth

Six Ways Organizations Can Leverage Digital Transformation for Growth

Thousands of organizations all over the world underwent digital transformations during pandemic-related shutdowns as a means of survival. Now, as they emerge from lockdowns, many are beginning to use digital transformation as a tool for growth. Moving forward, organizational leaders need to determine key metrics that can help them meet their growth goals. Here are […]

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fair-ai-systems

U.S. Federal Trade Commission: Seven Ways to Help Ensure Fair AI Systems

In April, the European Union (EU) and the U.S. Federal Trade Commission (FTC) each released regulations aimed at curbing the potential risks of artificial intelligence (AI). While the FTC regulations apply nationally in the U.S., enforcement of the EU regulations is left to EU member states. Both regulations apply to private companies only, though they […]

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artificial-intelligence-regulations

Three Major Trends In Artificial Intelligence Regulation

Artificial intelligence (AI) regulations are coming. In March, five of the largest U.S. financial regulators sent banks an information request inquiring about how they are using artificial intelligence. Such a request indicates that the financial sector will soon be facing guidelines around the technology. Additionally, the U.S. Federal Trade Commission (FTC) released definitions in April […]

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machine-learning-questions

Four Machine Learning Questions Organizations Should Ask

Machine learning can deliver major benefits for organizations looking to scale their operations, especially those who continue to experience disruptions from the COVID-19 pandemic. However, there are plenty of challenges that come along with implementing this type of artificial intelligence. Before organizations jump headfirst, there are four major machine learning questions they should consider. 1) […]

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institutional-review-boards

How Institutional Review Boards Can Reduce AI Risks 

Organizations are increasingly adopting artificial intelligence (AI) standards to mitigate risks associated with the technology, such as its propensity for bias. While developing AI standards is necessary, they also need to be upheld in order to be effective. To do so, organizations can consider establishing a body of experts charged with overseeing AI standards and […]

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causal inference machine learning

What is ‘Causal Inference’ and Why is it Key to Machine Learning?

Unlike human beings, machine learning algorithms are bad at determining what’s known as ‘causal inference,’ the process of understanding the independent, actual effect of a certain phenomenon that is happening within a larger system. For example, a human watching a golfer swing a golf club intuitively understands that the golfer’s arms are causing the club […]

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AI-standards-lessons

Four AI Standards Lessons To Consider

When it comes to designing ethical artificial intelligence (AI) systems, developers usually have the best intentions. However, problems often occur when developers fail to follow their intentions, what’s dubbed the “intention-action gap.” To avoid this, a new report from the World Economic Forum and the Markkula Center for Applied Ethics at Santa Clara University, titled […]

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liquid-learning-machine-learning

Is “Liquid Learning” the Next Revolution in Machine Learning? 

A new type of machine learning known as “liquid learning” can rapidly adapt to changes in its data stream and environment, rather than only learning while it’s being trained. Developed by MIT researchers, the technology represents a potential major breakthrough in artificial intelligence (AI).  Liquid learning utilizes algorithms that can transform their underlying equations, which […]

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