The Machine Question: Critical Perspectives on AI, Robots, and Ethics

By David J. Gunkel. 2012

437 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/61607580047d4b44ff8d63ee24972dce62284e91

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Citations in the corpus

Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale (2022, background): “While AI technology brings convenience, it also leads people to think carefully and explicitly about intelligence and ethics within it (Gunkel 2012).”
Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature (2020, background): “potential—but only if utilized responsibly [201]—to provide a positive change in our cities, societies and businesses by promoting a more efficient, effective and sustainable transition/transformation”
Artificial intelligence and communication: A Human–Machine Communication research agenda (2019, background): “And so, equally part of this conversation is a re-examination of the nature of people and things upon which ethical guidelines (e.g. Gunkel, 2012b) and laws (e.g. Calo, 2015) were based.”
Dimensions of artificial intelligence anxiety based on the integrated fear acquisition theory (2020, unknown): “(Gunkel, 2012) 4.530 0.816”
Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education (2022, background): “Moreover, while AI applications differ from other technologies in that they explicitly aim to act as agents in the classroom environment by adaptively tapping into students’ learning process, teachers face substantial pedagogical challenges in designing and facilitating how students interact, collab”
In AI We Trust: Ethics, Artificial Intelligence, and Reliability (2020, background): “However, what makes AI different is that they have a decision-making capacity, one that often surprises its creators (Gunkel 2012, p. 53).”