Avoiding the Basilisk: an Evaluation of Top-Down, Bottom-Up, and Hybrid Ethical Approaches to Artificial Intelligence
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Honors Theses, University of Nebraska-Lincoln Honors Program 3-2021 Avoiding the Basilisk: An Evaluation of Top-Down, Bottom-Up, and Hybrid Ethical Approaches to Artificial Intelligence Cole Shardelow University of Nebraska - Lincoln Follow this and additional works at: https://digitalcommons.unl.edu/honorstheses Part of the Philosophy Commons Shardelow, Cole, "Avoiding the Basilisk: An Evaluation of Top-Down, Bottom-Up, and Hybrid Ethical Approaches to Artificial Intelligence" (2021). Honors Theses, University of Nebraska-Lincoln. 332. https://digitalcommons.unl.edu/honorstheses/332 This Thesis is brought to you for free and open access by the Honors Program at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Honors Theses, University of Nebraska-Lincoln by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Avoiding the Basilisk: an Evaluation of Top-Down, Bottom-Up, and Hybrid Ethical Approaches to Artificial Intelligence An Undergraduate Honors Thesis Submitted in Partial Fulfillment of University Honors Program Requirements University of Nebraska-Lincoln by Cole Shardelow, BA Philosophy College of Arts and Sciences March 9, 2021 Faculty Mentors: Aaron Bronfman, PhD, Philosophy Albert Casullo, PhD, Philosophy Abstract This thesis focuses on three specific approaches to implementing morality into artificial superintelligence (ASI) systems: top-down, bottom-up, and hybrid approaches. Each approach defines both the mechanical and moral functions an AI would attain if implemented. While research on machine ethics is already scarce, even less attention has been directed to which of these three prominent approaches would be most optimal in producing a moral ASI and avoiding a malevolent AI.
[Show full text]