Human-Centric Artificial Intelligence for Innovation

Explore the potential of Human-Centric Artificial Intelligence for groundbreaking innovation.

The concept of Human-Centric Artificial Intelligence emphasizes the role of Artificial Intelligence technologies designed with a primary focus on human needs and experiences. This approach contrasts with traditional AI models, which often prioritize performance metrics over user-centric design.

Incorporating human-centered design into Artificial Intelligence systems aims to create more accessible, transparent, and inclusive technologies. It ensures that AI solutions are not just efficient but also ethical and relatable, fostering trust and broader adoption among users.

By prioritizing user experiences and ethical considerations, Human-Centric Artificial Intelligence promises to drive innovation while addressing societal challenges, ultimately serving as a catalyst for breakthroughs in various fields.

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Crescent library brings privacy to digital identity systems

Crescent is a cryptographic library that adds unlinkability to common digital identity formats, preventing tracking across credential uses while preserving selective disclosure. It supports JSON Web Tokens and mobile driver’s licenses without requiring issuers to change their systems.

Artificial Intelligence-powered remote drug testing removes barriers to recovery

Q2i and King’s College London are collaborating to evaluate an Artificial Intelligence-powered at-home drug testing system aimed at people recovering from opioid use disorder. The solution delivers digitally observed, clinically reliable results and pairs testing with contingency management and telehealth to reduce logistical barriers to care.

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