Artificial intelligence is being deployed in increasingly autonomous systems where it will have to make moral decisions. However, the rapid growth in artificial intelligence is outpacing the research in building explainable systems. In this paper, a number of problems around one facet of explainable artificial intelligence, training data, is explored. Possible solutions to these problems are presented. Additionally, the human decision-making process in unavoidable accident scenarios is explored through qualitative analysis of survey results.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Benasutti, Ryan Giovanni

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042419-101248

Keyword

• Humanistic Studies of Technology

Advisor

• Smith, Therese Mary
• Telliel, Yunus Dogan

Year

• 2019

Date created

• 2019-04-24

Resource type

• Interactive Qualifying Project

Rights statement

• In Copyright

License

• All rights reserved