• Artificial Intelligence / Machine Learning

Fairness has always been something we've struggled with as a society. David Weinberger, a senior researcher at the Berkman Klein Center for Internet & Society at Harvard, unpacks why fairness is a problematic framing of the ethical issues machine learning forces us to confront.

• Artificial Intelligence / Machine Learning

Diversity of thought isn’t a nice-to-have when it comes to tech and business; it’s a requirement. Our 2019 Digital Transformation Summit explored the ethics of AI and implications for business decision-makers — from the perspectives of a philosopher, general counsel, and CEO.

• Civic Tech

How do we use AI technologies to address bigger social issues? What new regulatory and governance models are needed? From our 2018 Future Assembly, Harvard Law School Professor Chris Bavitz starts the multidisciplinary conversation.

• Artificial Intelligence / Machine Learning

Technologists, managers, and policymakers all have a seat at the table here. Assembly, a collaboration of the Berkman Klein Center for Internet & Society at Harvard and the MIT Media Lab, is about creating space for cross-sector teams to crack the code to some of AI’s toughest ethical and governance problems — problems that would otherwise fall out of reach.

• Data & Analysis

Responsible innovation is the name of the game. Giovanni Buttarelli, head of the European Data Protection Supervisor, calls for defining global digital ethics standards and broad input — not just from engineers, but also from the humanities and social sciences — to get there.

• Civic Tech

Is it PIT or is it not PIT? Digital HKS pushes the conversation away from the binary and toward the breadth of programs, people, and skills that make up the space where "hard" tech meets public interest and governance.

• Artificial Intelligence / Machine Learning

Despite the number of high-stakes applications, Al doesn’t come with a warning label. The health-tech professionals behind this article recommend concepts and tools from clinical research to serve as a starting point in navigating the complicated territory that is AI regulation.

• Artificial Intelligence / Machine Learning

Even a perfectly designed algorithm makes decisions based on inputs from an imperfect world. Harvard Magazine pulls back the curtain on how AI operates — outside a vacuum, in real life — and the ethical awareness needed so the world being built is one we actually want to live in.