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Tag Archives | AI

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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machine-learning-vs.-deep-learning

Machine Learning vs. Deep Learning: What’s the Difference?

In recent years, artificial intelligence (AI) applications have exploded in popularity. A few examples include text editors, facial recognition systems, digital assistants, and much more. Simply put, AI is the ability for machines to perform tasks that require a certain level of intelligence. As an overarching branch of computer science, AI contains a number of […]

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machine-learning-weakness

Machine Learning Boasts Big Promises, But Still Contains a Major Weakness

Recently, MIT researchers used machine learning—computer algorithms that automatically learn and get better over time—to predict that a number of COVID-19 vaccines currently in development may not adequately protect people of Black and Asian descent. In a study published in late November, the researchers say their machine learning models predicted the likelihood of vaccines properly […]

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