Artificial intelligence (AI) is the new subject of large-scale regulation by governments around the world. While AI has many benefits, such as increased productivity and cost savings, it also presents some risks and challenges. For example, AI systems can sometimes be biased or discriminatory, leading to unfair outcomes. They can also raise concerns about privacy and data security, as these systems often rely on large amounts of personal data.

As a result, governments around the world are starting to introduce regulations to ensure that AI is developed and used in a safe, responsible, and ethical manner. These regulations cover a range of issues, from data privacy and security to algorithmic transparency and accountability.

This piece will unpack the novel AI regulation in the U.S., EU, Canada, and China and how each country approaches the technology as they seek to balance economic, social, and public priorities with innovation.

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Digital IDs are coming to America. Read the introduction to how we can avoid privacy and security pitfalls and make the most of this powerful technology.

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With so much activity on AI, does Congress have a role in shaping the future of safe AI?

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The Biden Administration’s new Executive Order on AI finally sets a technology regulation path for the United States.

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Congress has the opportunity to increase chip manufacturing in the United States through the United States Innovation and Competition Act from the Senate, or the America Creating Opportunities for Manufacturing, Pre-Eminence in Technology and Economic Strength (COMPETES) Act from the House. Unfortunately, a stalemate over semi-unrelated trade provisions in the bill are preventing its passage, delaying $52 billion in funding provisioned to increase production in the United States. Continued stalemate is bad news for the future of the American economy.

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The exact definition of digital privacy is complex, imperfectly aligned with typical understandings of privacy in an analog context. Historically, the vast majority of human actions and interactions existed beyond the scope of surveillance. Today, it’s nearly impossible to go about our daily lives without digital tools that facilitate modern life, but also collect data about individuals. When this growing flood of data is linked to an individual it is called “personal identifying information” (PII), the centerpiece of the debate over digital privacy.

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How can we move the humble state driver’s license or ID card into the 21st century? Today, U.S. state licenses are the principal consumer ID for day-to-day purposes. They certify identity and age using anti-counterfeiting features and are used to verify driving, or non-driving, privileges.

However, some states are using existing and well-tested technology to make their state ID cards more useful and more private at the same time without compromising security: digital ID.

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With greater numbers of states, national governments, and supranational groups seeking to regulate big tech on anti-trust and anti-competitive guidelines, a major question arises: where are technology companies causing the most harm? With services provided mostly free of monetary compensation, anti-trust does not go to the heart of power in tech. Instead, it is their ability to use customer data, exploit their privacy, and implement their technologies in public and private contexts with zero oversight. Government oversite of algorithms and source code and standardization of anti-discrimination guidelines are essential to ensuring technology is for public good.

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Covid-19 galvanized governments to speed up their adoption of digital tools. Current regulations and infrastructure are not ready to meet full-scale digitization by governments, calling for a macro-strategy to redesign how governments interface with technology.

This article begins to explore plans for government adoption of technology through the lens of machine-readable laws.

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