Semantic Scholar Open Access 2019 316 sitasi

Human-Centered Artificial Intelligence and Machine Learning

Mark O. Riedl

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Abstrak

Humans are increasingly coming into contact with artificial intelligence and machine learning systems. Human-centered artificial intelligence is a perspective on AI and ML that algorithms must be designed with awareness that they are part of a larger system consisting of humans. We lay forth an argument that human-centered artificial intelligence can be broken down into two aspects: (1) AI systems that understand humans from a sociocultural perspective, and (2) AI systems that help humans understand them. We further argue that issues of social responsibility such as fairness, accountability, interpretability, and transparency.

Topik & Kata Kunci

Computer Science

Penulis (1)

Mark O. Riedl

Format Sitasi

APA MLA BibTeX

Riedl, M.O. (2019). Human-Centered Artificial Intelligence and Machine Learning. https://doi.org/10.1002/HBE2.117

Akses Cepat

Lihat di Sumber doi.org/10.1002/HBE2.117

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 316×
Sumber Database: Semantic Scholar
DOI: 10.1002/HBE2.117
Akses: Open Access ✓