Justin Weisz

Greetings! I am a Research Manager and I help lead our Human-Centered AI strategy. My work sits at the intersection of human-computer interaction (HCI) and artificial intelligence (AI), and I use a mix of qualitative, quantitative, prototyping, crowdsourcing, and speculative methods to understand how to design and interact with AI systems that amplify and augment human capabilities. My research interests also include developing novel educational experiences and programming tools for advanced AI, quantum computing, and IoT technologies.

I was appointed as a Master Inventor in 2016, and my work has been published in top-tier HCI and AI conferences, including CHI, IUI, CSCW, AAAI, and NeurIPS. Prior to joining IBM in 2010, I received my B.S., M.S., and Ph.D. in Computer Science from Carnegie Mellon University in 2003, 2007, and 2009.

The most satisfying projects I've worked on at IBM are those that have had a direct impact on people. One example is TJBot, an open-source paper robot for learning AI programming, which has been used by hundreds of thousands of students and makers across the world. Another example is Entanglion, the world’s first board game to teach quantum computing, which has been used in hundreds of classrooms around the world.

I've worked on a number of interesting projects at IBM, including:

• Human-AI collaboration & co-creation
• Enterprise use cases of generative AI technologies
• AI FactSheet 360, a means of documenting the lifecycle of AI models & systems
• AutoAI, a product for automating the data science lifecycle
• Be The Bot, a web experience designed to teach how chatbots work, why they fail, and how to have better interactions with them
• Entanglion, an open-source board game to teach the fundamental principles of quantum computing
• CardKit, a novel programming method for drones and other IoT devices
• TJBot, a cute open-source paper robot, and the TJBot Swift Playground for programming it from an iPad
• Mobile apps to influence healthy habit formation
• Drone solutions in agriculture
• Mobile and wearable solutions for improving field worker productivity and safety
• Applications of psycholinguistic analysis and personality modeling
• Visualizations and UIs for statistical anomaly detection
• Expertise modeling and interfaces that motivate users to improve their expertise
• Creative uses of technology to improve in-store retail experiences

In my former life as a grad student, my research focused on collaborative online video watching. For more information about that work, please visit my site at CMU.