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Human-AI interaction is an interdisciplinary field that draws from various disciplines, such as computer science, psychology, sociology, design, and ethics. Human-AI interaction researchers and practitioners use multiple methods and tools, such as user research, prototyping, testing, and evaluation, to create and improve human-centered AI systems.
Human-centered AI (HCAI) refers to the development of artificial intelligence (AI) technologies that prioritize human needs, values, and capabilities at the core of their design and operation. This approach ensures teams create AI systems that enhance human abilities and well-being rather than replacing or diminishing human roles.
Mar 31, 2022 · Human-Centered AI is an emerging discipline intent on creating AI systems that amplify and augment rather than displace human abilities. HCAI seeks to preserve human control in a way that ensures artificial intelligence meets our needs while also operating transparently, delivering equitable outcomes, and respecting privacy.
Oct 3, 2022 · Human-Centered AI AI systems are proliferating in everyday life, and it’s imperative to understand those systems from a human perspective. We design and investigate new forms of human-AI interactions and experiences that enhance and extend human capabilities for the good of our products, clients, and society at large.
Artificial General Intelligence (AGI) or General AI represents a theoretical form of artificial intelligence (AI) that can solve any task using human-like cognitive abilities. Unlike its specialized counterpart, Narrow AI, which is designed for specific tasks, General AI should emulate the breadth and depth of human intelligence across many domains.
Generative AI often employs deep learning and neural networks to learn patterns from large datasets to generate novel outputs. Outputs are created in response to AI prompts. Effective prompts, or prompt engineering, are an essential part of human-ai interaction. ChatGPT, a generative language model by OpenAI, was released in 2022.
Most of human activities today are done collaboratively, thus, to integrate AI into the already-complicated human workflow, it is critical to bring the Computer-Supported Cooperative Work (CSCW) perspective into the root of the algorithmic research and plan for a Human-AI Collaboration future of work.
Oct 12, 2021 · Neuro-symbolic AI. We see Neuro-symbolic AI as a pathway to achieve artificial general intelligence. By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of human-like symbolic knowledge and reasoning, we're aiming to create a revolution in AI, rather than an evolution.
In this paper, we investigate human-AI collaboration in the context of a collaborative AI-driven word association game with partially observable information. In our experiments, we test various dimensions of subjective social perceptions (rapport, intelligence, creativity and likeability) of participants towards their partners when participants believe they are playing with an AI or with a human.
Ethical and Social Commentary: Artists are using AI-generated art to explore and comment on ethical issues surrounding AI, such as bias in algorithms or the impact of AI on human jobs. NFTs and Digital Art Markets: The rise of Non-Fungible Tokens (NFTs) has provided a new platform for selling and owning AI-generated art, creating a burgeoning digital art market.
