If we want humans to trust artificial intelligence (AI), then we need to teach the machines empathy, according to John Roese, CTO and president of products and operations at Dell Technologies. Roese joined two other Dell Technologies' companies CTOs on a panel at last week's Dell Technologies Summit: Dell Boomi's Michael Morton and RSA's Zulfikar Ramzan. Boomi is a data management company that lets businesses integrate and transfer data between cloud and on-premises applications. RSA is a security company whose founders pioneered public-key cryptography. The three CTOs discussed three big problems in the data era: what does infrastructure look like in an artificial intelligence (AI) driven, real-time data environment?

It has been estimated that by 2025, there will be 20 million fully-autonomous self-driving cars on the road, but one major obstacle to reaching that number remains: nobody wants to use them. Studies show that 75 percent of Americans are afraid to ride in a self-driving vehicle. Now the people behind BraiQ, a new project from Columbia University, want to change this by teaching cars to better read human emotions. The group is developing a system to monitor human bio signals, show the car how they are feeling, and teach it how to respond. "We think as the AI advances, unless we can develop the rapport based on the interaction to teach them to gain mutual trust, humans and machines are not going to be able to interact well," Sameer Saproo, a scientist at Columbia University and a researcher on the project said.

This paper describes a possible new scheme for a user with mental health problems to identify his/her own mental state and control it. For that purpose, we propose an indirect biofeedback system which encodes physiological information in terms of color and shape, and enables the user to grasp his/her inner state and to proactively change and control it by using breathing techniques. Those methods facilitate the user to self-control his/her autonomic nervous system. Here, we discuss indirect representation and placebo effect.

This paper outlines three projects that lay the foundation for a trans-disciplinary approach to the creation of interactive, multi-sensory devices combining biofeedback, virtual reality, and physical/virtual human-machine interactions. We explore new possibilities for interoperability and enhancing interoception and mindfulness with potential research contributions for novel personal, professional and medical applications.