Semantic Scholar Open Access 2020 1082 sitasi

Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy

B. Shneiderman

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Abstrak

ABSTRACT Well-designed technologies that offer high levels of human control and high levels of computer automation can increase human performance, leading to wider adoption. The Human-Centered Artificial Intelligence (HCAI) framework clarifies how to (1) design for high levels of human control and high levels of computer automation so as to increase human performance, (2) understand the situations in which full human control or full computer control are necessary, and (3) avoid the dangers of excessive human control or excessive computer control. The methods of HCAI are more likely to produce designs that are Reliable, Safe & Trustworthy (RST). Achieving these goals will dramatically increase human performance, while supporting human self-efficacy, mastery, creativity, and responsibility.

Topik & Kata Kunci

Computer Science

Penulis (1)

B. Shneiderman

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Shneiderman, B. (2020). Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy. https://doi.org/10.1080/10447318.2020.1741118

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Lihat di Sumber doi.org/10.1080/10447318.2020.1741118

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 1082×
Sumber Database: Semantic Scholar
DOI: 10.1080/10447318.2020.1741118
Akses: Open Access ✓