Big data analytics is the secret sauce of the American polity and economy—widely utilized but poorly understood. Organizations use various typesOpens in a new window of big data analytics to make decisions, correlations, and predictions about their constituents or stakeholders. The market for data is big and growing rapidly; it’s estimatedOpens in a new window to hit $100 billion before the end of the decade. But the recipe for data analytics can at times contain a hidden ingredient: bias. Not surprisingly, there is evidenceOpens in a new window that reliance on big data analytical processes can lead to divisive, discriminatory, inequitable, and even dangerous outcomes—collective harms—for some of the people sorted into groups. That needs to change.
Recent Publications
Regrets of the Tech Bros: In a land ruled by the law of the jungle
On his Inauguration Day, Donald Trump sent a message. The founders and CEOs of Apple,Amazon, Google, Meta, Open AI, and Uber, among other giant high-tech companies, sat in the front rows near the Trump family and cabinet nominees. Trump and his staff wanted to use...
The Dangers of AI Nationalism and Beggar-Thy-Neighbour Policies
As they attempt to nurture and govern AI, some nations are acting in ways that – with or without direct intent – discriminate among foreign market actors. For example, some governments are excluding foreign firms from access to incentives for high-speed computing, or...
Talking to a Brick Wall: The US Government’s Response to Public Comments on AI
April 28, 2025 Building trust in artificial intelligence (AI) is an elusive goal, especially if AI models are closed or partially open, making it difficult for users to determine if these models are reliable, fair or trustworthy. For this reason, the Biden...