I believe that academics have a responsibility to share our knowledge & experience with the broader public through outreach and service. Moreover, in fast-moving areas such as ethics & AI and machine learning, academic journal papers simply appear too slowly to have a meaningful impact. My work in this space has included engagement with academic, industry, government, and public partners, as well as other ways of reaching a broader audience.
Selected public writings, podcasts, & other outreach
“How Do We Distribute Responsibility When AI Goes Wrong?” (August 2023): Ethical Machines (with Reid Blackman)
“When Biased AI is Good” (March 2023): Ethical Machines (with Reid Blackman)
Natsec Tech (January 2023) with Lynne Parker
“Deep Fakes, Responsible Data Science, and Trust” (April 2022): Open||Source||Data (with Sam Ramji)
“AI & You” (by Peter Scott), part I and part II (February 2022)
“Flipping the Script on Deepfake Technologies” (Dec. 2021): Built for Change podcast by Accenture
Data Visualization Project (Oct. 2021): Eradicate Hate Global Summit.
“David Danks & Alessandro Acquisti” (March 2020): Interdisciplinary Initiative podcast (CMU)
“From Self-Driving Cars to Autonomous Weapons Systems – Can We Trust AI?” (Feb. 2020): SparkDialog podcast
Luminary podcast (Dec. 2019)
“Why Ethical AI Needs a Focus on the Fundamentals” (Sept. 2019): Thinking Through Autonomy with Ken Dunlap
“AI & global governance: Supporting the ties that bind.” (Oct. 15, 2018) UNU Centre for Policy Research.
Sci Phi podcast (Jan. 2017)
“Finding trust and understanding in autonomous technologies” (Dec. 30, 2016): The Conversation.
Roff, Danks, & Danks. “Fight ISIS by thinking inside the bot” (Oct. 21, 2015). Slate.