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Consequential

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Consequential

Block Center for Technology and Society at Carnegie Mellon University

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Consequential is a podcast that looks at the human side of technological change and develops meaningful plans of action for policymakers, technologists and everyday people to build the kind of future that reduces inequality, improves quality of life and considers humanity. Over the course of the first season, we will unpack important topics like industry disruption, algorithmic bias, human-AI collaboration, re-skilling and the future of work, as well as discuss policy interventions for using ...
 
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Care is one of the most integral aspects of our society, and one of the most contentious aspects of infrastructure legislation. This week's episode looks at the role the care sector plays our workforce and economy, as well as the long-term effects of investing in care as infrastructure, with guests Maria Cancian, Brigid Schulte, and Jodi Sandfort.…
 
While infrastructure may have taken center stage in this year's policy discussions, the United States has been trying to figure out what to do about our infrastructure for a long time. This week's episode looks at the current state of our infrastructure, as well as past and future infrastructure reform, with guests Price V. Fishback, Jodi Sandfort,…
 
What are the long-term impacts of targeted investments in our physical and human infrastructure? Beginning November 24, Season 4 of the Consequential Podcast will examine how policymaking in such areas as public transportation, energy, and workforce development will affect our future.By Block Center for Technology and Society for Consequential
 
Natural language processing is the branch of artificial intelligence that allows computers to recognize, analyze and replicate human language. But when it’s hard enough for humans to say what they mean most of the time, it’s even harder for computers to get it right. Even when they do, we might not like what we hear. In this week’s episode looks at…
 
Open source software is the infrastructure of the Internet, but it is less diverse than the tech industry overall. In this deep-dive on gender in open source, we speak to CMU’s Laura Dabbish and Anita Williams Woolley about what’s keeping women from participating in open source software development and how increased participation benefits society a…
 
From helping to identify tumors to guiding trading decisions on Wall Street, artificial intelligence has begun to inform important decision-making, but always with the input of a human. However, not all humans respond the same way to algorithmic advice. This episode of Consequential looks at human-in-the-loop AI, with guests Sumeet Chabria, David D…
 
The Enron emails helped give us spam filters, and many natural language processing and fact-checking algorithms rely on data from Wikipedia. While these data resources are plentiful and easily accessible, they are also highly biased. This week, we speak to guests Amanda Levendowski and Katie Willingham about how low-friction data sources contribute…
 
Peer review is the backbone of research, upholding the standards of accuracy, relevance and originality. However, as innovation in the fields of AI and machine learning has reached new heights of productivity, it has become more difficult to perform peer review in a fast and fair manner. Our hosts are joined by Nihar Shah to unpack the question of …
 
Traditional scientific research has a data diversity problem. Online platforms, such as Mechanical Turk, give researchers access to a wider variety and greater volume of subjects, but they are not without their issues. Our hosts are joined by experts David S. Jones, Ilka Gleibs, and Jeffrey Bigham to discuss the pros and cons of knowledge productio…
 
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 research, with guests Ben Amaba, Arnelle Etienne, Pulkit Grover, and Shawn Kelly.By Block Center for Technology and Society
 
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 impact research practices and data collection, as well as the development and dissemination of knowledge. Topics will include combatting disinformatio…
 
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 direct impact on public health? To answer these questions, we speak to Dean Ramayya Krishnan of Heinz College; Professor of Machine Learning and Public Po…
 
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 new episode. We would also like to echo the sentiment expressed by Carnegie Mellon's President Farnam Jahanian, that it is up to each one of us – no mat…
 
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 Carnegie Mellon’s Tepper School of Business to learn about how communication and collaboration change once teams are no longer face-to-face, and we hear fro…
 
In the span of just two weeks, the entire American higher education system moved online due to COVID-19. While this is often considered a temporary measure, the truth is that higher ed may never fully go back to normal. And in some regards, we may not want it to. In this week’s episode, hosts Eugene and Lauren talk to professors across the United S…
 
How will certain new standards for data sharing and surveillance during the COVID-19 pandemic impact the future of healthcare? In episode two of Consequential's two-part deep-dive on pandemics, public health and privacy, hosts Eugene and Lauren talk to David S. Jones of Harvard University and Henry Kautz of the National Science Foundation about the…
 
Mobile data records, tracking devices and government-mandated selfies have played a large role in both enforcing quarantines and providing data to better understand the coronavirus. In this week’s episode of Consequential, hosts Eugene and Lauren talk to Wilbert Van Panhuis, an infectious disease epidemiologist at the University of Pittsburgh; Tom …
 
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 difficult ethical questions that will also determine how these technologies could be used in other sectors. We will also discuss the importance of more r…
 
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 potentially displaced workers for these new opportunities. We will also discuss the “overqualification trap” and how the Fourth Industrial Revolution is changing…
 
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 education, both within and beyond the classroom, as well as opening up more accessible learning opportunities. However, without reform in our infrastructure, …
 
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 leave you? In our deep-dive on data subjects, we discuss how to better inform and better protect the people whose data drives some of the most central…
 
Our future isn’t a coin flip. In an age of artificial intelligence and increasing automation, Consequential looks at our digital future and discusses what’s significant, what’s coming and what we can do about it. Over the course of our first season, hosts Lauren Prastien and Eugene Leventhal will unpack the narrative of technological change in conv…
 
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