There will be four Keynote Speakers, who reflect the various interests and expertises that are relevant to Hybrid Human Artificial Intelligence, addressing both technical as well as societal, and ethical challenges.
Tuesday Keynote by Paul Lukowicz
The HumanE AI Net vision of Human Centric AI
Wednesday Keynote by Joanna Bryson
With whom do we hybridise? Principle Agents of AI
Artificial Intelligence is a set of techniques facilitating our capacity to navigate the information spaces afforded by substantial improvements in digital technologies and infrastructures. But whose is this “our” – who is gaining in capacities and at what costs? In this talk I will review a sampling of AI impacts in the individual, national, and global spheres. I will present my recent research in transparency for and through AI, governance of those that produce AI, and the transnational dynamics that may be obscuring and even compromising our agency. I use this evidence to suggest that ultimately ethics and responsibility are only sensible framings for relationships between peers, and artefacts are never true peers with organisms.
Thursday Keynote by Wendy Mackay
Creating Human-Computer Partnerships
Despite incredible advances in hardware, much of today’s software remains stuck in assumptions that date back to the 1970s. As software becomes ever more ‘intelligent’, users often find themselves in a losing battle, unable to explain what they really want. Their role can easily shift from generating new content to correcting or putting up with the system’s errors. This is partly due to the assumptions from AI that treat human users primarily as a source of data for their algorithm—the so-called “human-in-the-loop”— while traditional Human-Computer Interaction practitioners focus on creating the “user experience” with simple icon and menu interfaces, without considering the details of the user’s interaction with an intelligent system. I argue that we need to develop methods for creating human-computer partnerships that take advantage of advances in machine learning, but also leave the user in control. I illustrate how we use generative theory, especially instrumental interaction and reciprocal co-adaptation, to create interactive intelligent systems that are discoverable, appropriable and expressive. Our goal is to design robust interactive systems that augment rather than replace human capabilities, and are actually worth learning over time.
Friday Keynote by Fernanda Viegas
Designing AI systems with a variety of users in mind
How should people relate to artificial intelligence technology? Is it a tool to be used, a partner to be consulted, or perhaps a source of inspiration and awe? As technology advances, choosing useful human/AI relationship framings will become an increasingly important question for designers, technologists and users. I’ll discuss a series of research projects–ranging from data visualizations and tools for medical practitioners to guidelines for designers–that illustrate how AI can play each of these roles. By providing users with a diversity of engagement possibilities, I hope to develop more responsible and effective ways to construct, use and evaluate this technology.