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Tag Archives | AI

ai-regulations

Ten Ways AI Regulations and Standards Will Evolve in 2022

With artificial intelligence (AI) technologies such as machine learning and neural networks rapidly evolving, governments are racing to regulate AI. As TechRepublic reported in November 2021, the consulting firm Deloitte is predicting that evolving AI technologies could lead to “enforced regulations in 2023 and beyond.” If that’s the case, organizations that make and use the […]

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Six Priorities from the UK’s New Artificial Intelligence Roadmap

Demand for artificial intelligence (AI) is growing. According to Data Prot, a website that educates people about internet privacy, 37% of businesses and organizations employ AI technology. While AI can make organizations more efficient and profitable, these systems are not without risks, such as their propensity for bias and privacy infringements. Governments across the world […]

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global-standard-for-AI

European Union Considering “De Facto Global Standard” for AI

The European Union (EU) has proposed a first-ever comprehensive legislative package to regulate artificial intelligence (AI). As The National Law Review reports, the Artificial Intelligence Act (AIA) will “establish a risk-based framework for regulating use of AI anywhere within the EU, including by organizations based outside the EU.” If passed, the law “establishes a de […]

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machine-learning-model-decisions

New Method Could Help Machine Learning Models Make Better Decisions 

Machine learning models often rely on the simple features of a dataset to make decisions. Known as “shortcuts,” these types of decisions can lead to serious errors. For example, these shortcuts can cause models to make inaccurate medical diagnoses. However, a recent study from MIT poses a possible solution. By removing the simple characteristics of […]

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Six Ways To Manage Risk in Your AI Systems

As artificial intelligence (AI) becomes more common, so do its risks, such as its potential for bias and privacy infringements. As we’ve discussed in previous posts, governments around the world are beginning to develop requirements and guidance around AI. Organizations that are not yet developing AI standards in alliance with these requirements may soon find […]

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deploying-artificial-intelligence

Three Ways To Prepare Your Workforce for Artificial Intelligence

Only 20% of U.S. companies are fully deploying artificial intelligence (AI) for decision-making in their businesses based on survey responses from 1,000 senior business executives. According to the news site Axios, 61% of organizations are just starting to adopt AI for decision-making, while 19% are categorized as having barely begun. Surveyed business leaders are hesitant […]

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machine-learning-models

Four Reasons Machine Learning Models Fail and How to Fix Them

Machine learning is a branch of artificial intelligence (AI) in which algorithms are trained to get better at solving problems on their own, similar to the functionality of a human brain. While organizations are rapidly adapting machine learning to enhance their business operations, many are failing to build machine learning models that work.  Why do […]

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data-drift-machine-learning

Four Ways to Build MLOps that Avoid “Data Drift” in Machine Learning

Organizations are increasingly adopting machine learning, a type of artificial intelligence that allows software applications to get better at predicting outcomes on their own. While these models can help businesses make better decisions, they have a major weakness. Once the data that support machine learning models become outdated, so too do the models—a problem known […]

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