Episode 139: Automating Digital Teaching — What Can Go Wrong?

About Episode 139: More options to scale efficiencies through automations are available now than ever before. Join hosts Tom and Kelvin for a consideration of how well-intentioned digital teaching automations can go horribly wrong. Podcast Recording Download Transcript: PDF Episode 139 Show Notes: Episode Synopsis via Twitter View complete list of episode highlights via Twitter Coffee Links: Single-origin El Salvador “La Siberia” from Beacon Coffee (Ventura, CA) Content Links: [Journal Article from University of Louisville Faculty: In Frontiers in Education] “Racial, skin tone, and sex disparities in automated proctoring software” (Yoder-Himes et al., 2022) [Journal Article: In AI & Society] “The ethics of algorithms: key problems and solutions” (Tsamados et al., 2021) [Journal Article: In International Journal of Information Management] “‘So what if ChatGPT wrote it?’ Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy” (Dwivedi et al., 2023) [Journal Article: arXiv preprint] “GPT detectors are biased against non-native English writers” (Liang et al., 2023) In the New Yorker: “Will A.I. Become the New McKinsey?” (Chiang, 2023) In the New York Times: “When A.I. Chatbots Hallucinate” Info on Dr. Jutta Treviranus (quoted in this episode) Past TOPcast Episodes Episode #46: Empowering Humans Through Learning Analytics Episode #81: Technology Adoption as Enabling the “Right Thing”   Episode #117: Online Discussion-Enhancement Tools   Episode #119: Chatbots in Online Education  Episode #131: ChatGPT: Friend or Foe? Just for Fun Pop Culture Link 3 minute video: “Jon Lovitz Appears as the Pathological Liar on Johnny Carson’s Tonight Show”                          Extra Special Feature Video Version of this Episode!