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  1. What is Human-Centered AI (HCAI)? 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 ...

  2. Mar 31, 2022 · Human-Centered AI (HCAI) 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.

  3. 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.

  4. 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.

  5. General AI, or Strong AI, represents a significant step forward in artificial intelligence. General AI systems will have the ability to understand, learn, and apply knowledge across various tasks akin to human adaptability. As of now, no truly Strong AI exists. While General AI is a promising concept, current AI systems, including those labeled ...

  6. Artificial Intelligence (AI) refers to computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, and adapting to new information. AI applications range from virtual assistants and image recognition to complex tasks such as ...

  7. 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.

  8. Human-centered design is a practice where designers focus on four key aspects. They focus on people and their context. They seek to understand and solve the right problems, the root problems. They understand that everything is a complex system with interconnected parts. Finally, they do small interventions.

  9. Another line of research on ToM in human-AI interaction aims at providing human-centered AI design implications through exploring people’s tendency to attribute mental states such as blame, emotions, and intentions to AI, along with the role that AI should play in the interaction (e.g., as a tool, partner, teacher, and more) to align with people’s expectations and mental models.

  10. 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.

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