The GENERAL (GENerative, Explainable and Reasonable Artificial Learning) workshop, held at CHITALY 2023, delves into the advancements in General and Generative Artificial Intelligence (GGAI), with a focus on breakthroughs in natural language processing (NLP) and computer vision (CV). The workshop highlights the capabilities of Large Language Models (LLMs) and Latent Diffusion Models (LDMs) in generating human-like content across text and images. It emphasizes the importance of AI explainability, aiming to understand, explain, and control the complexities of these AI systems in terms of fairness, accountability, and transparency. The workshop encourages interdisciplinary collaboration across fields like HCI, psychology, social studies, and the arts to better understand AI’s societal and cultural impacts. Topics of interest include user perceptions of generative AIs, machine psychology, AI assistants, ethical issues in Generative AI, and safety and control mechanisms for large language models.

GENERAL: GENerative, Explainable and Reasonable Artificial Learning

Luigi Di Caro;Amon Rapp;Federico Torrielli
2023-01-01

Abstract

The GENERAL (GENerative, Explainable and Reasonable Artificial Learning) workshop, held at CHITALY 2023, delves into the advancements in General and Generative Artificial Intelligence (GGAI), with a focus on breakthroughs in natural language processing (NLP) and computer vision (CV). The workshop highlights the capabilities of Large Language Models (LLMs) and Latent Diffusion Models (LDMs) in generating human-like content across text and images. It emphasizes the importance of AI explainability, aiming to understand, explain, and control the complexities of these AI systems in terms of fairness, accountability, and transparency. The workshop encourages interdisciplinary collaboration across fields like HCI, psychology, social studies, and the arts to better understand AI’s societal and cultural impacts. Topics of interest include user perceptions of generative AIs, machine psychology, AI assistants, ethical issues in Generative AI, and safety and control mechanisms for large language models.
2023
The 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly '23)
Torino, Italia
20-22 settembre 2023
Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly '23)
ACM
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Generative Artificial Intelligence, Large Language Models, AI Explainability, Interdisciplinary Collaboration, Ethical Issues in AI
Luigi Di Caro, Amon Rapp, Federico Torrielli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1947180
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