The feats achieved through AI and machine learning are astonishing and can feel like modern wizardry. But without clear ethical reasoning and principled leadership, this utopian promise could tumble all too quickly into a dystopian nightmare.
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.
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.
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.
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.
Globally, one-third of cervical cancer deaths take place in India — a country that suffers from a low patient-to-pathologist ratio. Tech startup, Aindra Systems is tackling this disparity through artificial intelligence. With automation comes quicker diagnoses and the opportunity to democratize access to quality care.
Machine learning is a popular topic in most industries these days, and it will come as no surprise that this is true for astronomy and astrophysics as well. University of Colorado PhD student Avery Schiff explores how a deep learning algorithm is being used to classify galaxy morphologies in this article from graduate student astronomy journal Astrobites.
Technological advancements have made it possible to imagine sports competitions of a very different variety than those we enjoy today. With so many avenues of entertainment open to us, it begs the question: in the future of sports who will the athletes be, human — or machine?
With the rise of AI-driven personal assistants like Siri and Alexa, chatbots are becoming increasingly ubiquitous, and the market value of chatbots is expected to reach $1.23 billion by 2025. What are the causes and implications of this chatbot boom, and what will it mean for the future of business? Carrie Epstein and Amy Sinensky of Viacom explore the question in this flash talk from Future Assembly 2018.
How can businesses navigate this AI-driven future that we’re all moving towards? In this keynote from our 2018 Digital Transformation Summit, Amy Yu recommends companies focus on three things: data, talent and ethics.
Big data…artificial intelligence…Internet of Things. These technologies have taken their shares of the headlines the past few years, but now machine learning is the buzz. Mike Teodorescu explains how it is changing the lives of consumers and businesses.