CfP: GenAIHCI – Generative AI and HCI - CHI 2022 workshop

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Charles P Martin

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Jan 12, 2022, 6:02:23 AMJan 12
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GenAIHCI – Generative AI and HCI - CHI 2022 workshop

Call for Participation


Generative AI can be defined as an AI system that uses existing media to create new, plausible media. This scope is broad, and the generative potential of AI systems varies greatly. Over the last decade, we have seen a shift in methodology, moving from expert systems based on patterns and heavy human curating towards stochastic and generative models such as Generative Adversarial Networks (GANs) that use big data to produce convincingly human-like results in various domains.


This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI). Unlike AI systems that produce decisions or descriptions, generative AI systems produce new instances of types of data that can include images, texts, music, design, and motion. The results are often similar to results produced by humans.


However, it is not yet clear how humans can make sense of generative algorithms and outcomes. We have yet to understand what user interface technologies will enable humans to control, and more generally to interact with these powerful capabilities. These human-like capabilities put into question our current paradigms for mixed initiative user interfaces. Further, the unpredictability of “creative” algorithms raises new questions about how, when, and how much control humans may wish to share with these algorithms. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together.


In this one-day workshop, we will convene the interdisciplinary research domain of generative AI and HCI. Participation in this invitational workshop is open to seasoned scholars and early career researchers from diverse disciplines. We solicit descriptions of completed projects, works-in-progress, and provocations. Together we will develop theories and practices in this intriguing new domain.


Topics


Because of the far-reaching implications of Generative AI, we propose the following list of non-exhaustive, thematic questions to guide our discussions at the workshop:


- What is generative AI and how can we leverage diverse definitions of it? Does generative AI go beyond intelligent interaction? What distinguishes generative AI?


- How do you design in this space? What design patterns do we need to think about? How does uncertainty play into this and how to we help people set expectations to designing with AI?


- Do generative AI algorithms contribute needed serendipity to the design process—or simply randomness—or worse, chaos?


- Is presenting AI as a desirable and “objective” method appropriate for generative AI?


We encourage people to write and answer their own questions as well. We hope that the workshop leads to new ways-of-thinking. These themes can be addressed within the following topics:


- The emerging capabilities of generative AI.


- Generative AI existence in different domains including (but not limited to) images, music, text, design, and motion.


- The role of generative AI in assisting, replacing, and regimenting human work.


- Human-AI collaboration and co-creative systems.


- Ethical issues including misuses and abuses, provenance, copyright, bias, and diversity.


- The uncanny valley in Human-AI interactions.


As above, we encourage people to add new topics and domains.


Please visit https://generativeaiandhci.github.io/ to learn more about the workshop.


Submissions may be up to four pages long (references may appear on additional pages), following the CHI 2022 instructions at https://chi2022.acm.org/for-authors/presenting/papers/chi-publication-formats/ .


The deadline for submissions is 24 February 2022 AoE (i.e., 23:59pm in the latest timezone on the planet).


Please make your submission via EasyChair at https://easychair.org/my/conference?conf=genaichi2022# .


Please send any comments or questions to Michael Muller, michael...@us.ibm.com.


--
Charles P Martin
music tech, AI/ML, interaction
Canberra, Australia

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