Consequential is a narrative podcast about public policy, its impacts, and its potential for building a better future. The show is produced by Carnegie Mellon University's Heinz College of Information Systems and Public Policy. https://hnz.cm/consequential
Disinformation is as old as the printing press, if not older. So what has accelerated its spread now, and what can be done to stop it? On this special bonus episode of Consequential, we speak to the …
In the first episode of Season 3 of Consequential, hosts Eugene and Lauren look at how underlying biases in the development of the EEG have impacted healthcare, medical technology, and scientific res…
In Season 3 of Consequential, hosts Eugene and Lauren will be exploring knowledge production in the Information Age. Beginning on October 21, this season will examine how AI and machine learning will…
Today we're asking our experts: how do you coordinate a crisis response to an issue like COVID-19, where every public health decision has economic ramifications, and every economic decision has a dir…
With consideration to the events of the past week and in order to hold space for the voices that are boldly challenging systemic racism and injustice, we have decided to postpone the release of our n…
Can teams still be effective when working together remotely? Is working from home the future of work? In this week’s episode, hosts Eugene and Lauren talk to Professor Anita Williams Woolley of Carn…
In light of recent developments related to COVID-19, we have decided to push back our second season to focus instead on what we can learn from the coronavirus in terms of technology and society. In …
Over the last 9 episodes, we’ve presented a variety of questions and concerns relating to the impacts of technology, specifically focusing on artificial intelligence. To end season 1, we want to take…
Don’t worry, your next doctor probably isn’t going to be a robot. But as healthcare tech finds its way into both the operating room and your living room, we’re going to have to answer the kinds of di…
If artificial intelligence can do certain tasks better than we can, what does that mean for the concept of work as we know it? We will cover human-AI collaboration in the workplace: what it might loo…
The World Economic Forum has found that while automation could eliminate 75 million jobs by 2022, it could also create 133 million new jobs. In this episode, we will look at how to prepare potentiall…
If you think about any piece of pop culture about the future, it takes place in a city. Whether we realize it or not, when we imagine the future, we picture cities, and that idea is all the more prob…
Big data disrupted the entertainment industry by changing the ways that people develop, distribute and access content, and it may soon do the same for education. New technologies are changing educati…
Everyone has a different definition of what fairness means - including algorithms. As municipalities begin to rely on algorithmic decision-making, many of the people impacted by these AI systems may …
Every time you order a shirt, swipe on a dating app or even stream this podcast, your data is contributing to the growing digital architecture that powers artificial intelligence. But where does that…
Inside the black box, important decisions are being made that may affect the kinds of jobs you apply for and are selected for, the candidates you’ll learn about and vote for, or even the course of ac…
Are the robots coming for your job? The answer isn’t quite that simple. We look at what’s real and what’s hype in the narrative of industry disruption, how we might be able to better predict future t…