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On Avoiding Power-Seeking by Artificial Intelligence

Creator:

Turner, Alexander M.

Abstract:

We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...

Resource Type:

Dissertation

Full Text:

policy set transfer across discount rates . . . . . . . . . . 234 F.1.3 Optimal policy set
Teacher perceptions of training and pedagogical value of cross-reality and sensor data from smart buildings

Creator:

Rowe, Shawn, Riggio, Mariapaola, De Amicis, Raffaele, and Rowe, Susan R.

Abstract:

This paper discusses elementary, and secondary (K-12) teachers’ perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12...

Resource Type:

Article

Full Text:

–10]. Educ. Sci. 2020, 10, 234; doi:10.3390/educsci10090234 www.mdpi.com/journal/education