Stay Human, from the Artificiality Institute

On a scale of 1 to 10, rate how well you understand how a toilet works. Now, take a moment to explain how it works. Now, after you’ve tried to explain it, does your rating of how well you understand change? If you’re like most people, the act of trying to explain will highlight that you don’t understand it as well as you thought you did. This is called the Knowledge Illusion and it’s where we feel...

In this episode, we have a conversation with Rana el Kaliouby, CEO and Co-Founder of Affectiva, about emotional AI, bias in AI and her new book, Girl Decoded. Rana is a leader in her views on ethical AI and how to design AI systems for humans—two topics that are near to our hearts! We hope you enjoy this conversation as much as we did. Note we open with a short conversation about IBM’s announcemen...

In this episode we have a conversation with Renée Cummings, Founder & CEO of Urban AI, about the issues and opportunities for AI in urban settings. While we recorded this before the current protests, our conversation with Renée couldn’t be more timely as we talk about the use of AI in law enforcement and recruiting. We think Renée’s specialized focus on AI in urban settings will be essential t...

In this episode, we open with a chat about Facebook’s acquisition of GIPHY and what the company may be trying to learn with its AI (hint: hidden meanings) and then we move on to a great conversation with Maria Axente of PWC about ethical AI at PWC and in her non-profit work with groups like UNICEF. If you’re enjoying our podcast, please share with your friends, subscribe and give us a like—we’d ap...

In this episode, we open with an opinionated chat about Facebook’s new oversight board and then we have a great conversation with Ted Kwartler, VP of Trusted AI at DataRobot. We think DataRobot is a very interesting AI company and Ted’s role is key to helping their customers with ethical AI. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus e...

In this episode, I have a conversation with Arash Rahnama, Head of Applied AI Research at Modzy (@arashrahnamaphd, @getmodzy, www.modzy.com). We talk about techniques for providing explainability in AI, how to pair explainability with fairness to reduce bias, how AI goes wrong and how diverse teams can provide important prior knowledge to AI systems and help govern them in the wild. This is a publ...

In this episode, I have a conversation with Scott Stephenson, Co-founder and CEO of Deepgram, a company which has built an end-to-end deep learning speech recognition system. We talk about why end-to-end deep learning sets Deepgram apart from other speech recognition companies, how Deepgram handles accents and bias, how enterprise speech recognition differs from consumer and Deepgram’s goal of bec...

In this episode, I have the pleasure of talking with Will Griffin, Chief Ethics Officer of Hypergiant , an Austin Texas-based AI product and services company. We talk about how Hypergiant uses Immanuel Kant’s categorical imperative in its ethics framework, how Hypergiant applies its ethics process with clients and why Will thinks ethical processes are important in AI development. This is a public...

In this episode, I have the pleasure of interviewing Chelsea Barabas a PhD candidate at MIT’s Media Lab. We talk about her work on bias in the criminal justice system as well as her most recent work applying the concept of “studying up” from anthropology to the data science world. Here are some of the links we refer to in the episode: http://www.chelsbar.com https://cmsw.mit.edu/profile/chelsea-ba...

In this episode, Dave interviews Helen about her recent article in Quartz, “Are AI ethicists making any difference?” Some of the topics we explore include: * Why is there a rush to hire AI ethicists in the tech industry? * What do AI ethicists do? * Why are people skeptical and what is “ethics washing” and “ethics bashing?” * What does Jacob Metcalf of Data & Society mean by saying that ethics is...

In this episode, we dive into the paradox of autonomy. Some of the topics we explore include: * Why are there so many paradoxical observations in AI? * What is the autonomy paradox? * Is there any way that giving up more information can be autonomy-enhancing? * What are principal reason and counter-factual explanations? * How can we deal with the autonomy paradox through AI UX design? For further...

Take a listen as we take a deep dive into the paradox of personalization. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world