Gabriella Waters and I founded AIM-LIFT (the Interdisciplinary AI & Machine Learning Working Group) in April 2023 as a biweekly meeting to discuss recent publications on AI and ML, with dual attention to (i) technical aspects and developments and (ii) their sociopolitical and philosophical implications. The group is hosted and supported by CEAMLS (the Center for Equitable AI and Machine Learning Systems) at Morgan State University.
All researchers with an interest in AI-ML technologies and their sociopolitical dimensions are welcome to join the group. Email [email protected] to be added to the mailing list.
Interdisciplinary AI & Machine Learning Working Group – Mission Statement
AI commands great interest today across public, commercial, and academic forums. There remains a disconnect, however, between discussions of AI that focus on technical details such as specific machine learning approaches, models, and data sets, on the one hand, and those that focus on broader social, scientific, and philosophical implications, on the other. This group aims to connect these concerns by reading and discussing recent publications that engage with both dimensions in some way. We welcome researchers from all areas – STEM, social science, and humanities – with an interest in both the technical aspects of AI and machine learning and their larger context and significance.
Current Meeting Times (subject to change by group agreement):
1st and 3rd Tuesdays of each month from 12:00pm-1:00pm EST, by Zoom
Hosts / organizers:
Gabriella Waters (CEAMLS) and Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State University)
Contact for more information / expressions of interest:
Phillip Honenberger ([email protected])
Previous meetings (updated April 2, 2024):
Tues., April 2, 2024
Topic: “Introduction to Bias Mitigation Techniques”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Feldman & Peake, "End-to-End Bias Mitigation: Removing Gender Bias in Deep Learning" (2021)
(2) Wang & Russokovsky, "Overwriting Pretrained Bias with Finetuning Data" (2023)
Tues., March 5, 2024
Topic: “Diffusion Models and Image Generative AI”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Robertson, “Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis” (2024), The Verge (https://www.theverge.com/2024/2/21/24079371/google-ai-gemini-generative-inaccurate-historical )
(2) Isaacs-Thomas, “How AI turns text into images” (2023), PBS News Hour (https://www.pbs.org/newshour/science/how-ai-makes-images-based-on-a-few-words)
(3) Bushwick et al., “See how AI generates images from text” (2023),
(https://www.scientificamerican.com/article/see-how-ai-generates-images-from-text/ )
(4) OPTIONAL (for the “deep dive”): Yang et al., “Diffusion Models: A Comprehensive Survey of Methods and Applications” (2023), ACM Computing Surveys (https://www.researchgate.net/publication/374330983_Diffusion_Models_A_Comprehensive_Survey_of_Methods_and_Applications)
Tues., Feb. 20, 2024
Topic: “Women in AI / Diversity in AI Workforce”
Introduced by: Saata Senii (Morgan State University)
(1) Kassova, “Where are all the ‘godmothers’ of AI?” (2023) https://www.theguardian.com/global-development/2023/nov/25/where-are-godmothers-of-ai-womens-voices-not-heard-in-tech-sam-altman-openai
(2) McKinsey Report on AI, 2022: The state of AI in 2022 – and a half-decade in review
(3) Bemba, “NYT Missed These 12 Trailblazers: Meet the Women Transforming AI”:
https://medium.com/womenintechnology/ny-times-missed-these-12-trailblazers-meet-the-women-transforming-ai-ae522f52a8b7
Tues., Feb. 6, 2024
Topic: “Student data, privacy, and AI in higher ed.”
Introduced by: Daniel Brunson (Morgan State, Dept. of Philosophy & Religious Studies)
(1) Mathewson, “He Wanted Privacy. His College Gave Him None.” (2023): https://themarkup.org/machine-learning/2023/11/30/he-wanted-privacy-his-college-gave-him-none
(2) Jones et al., “A Matter of Trust: Higher Education Institutions as Information Fiduciaries…” Journal of the Association for Information Science & Technology (2019)
Thurs., Dec. 7, 2023
Topic: “Generative AI’s Effects on Labor Markets”
Introduced by: Larry Liu (Sociology, Morgan State University)
(1) Hui et al., "Short Term Effects of Generative AI on Employment" (2023) https://mail.google.com/mail/u/0?ui=2&ik=29d80365f4&attid=0.1&permmsgid=msg-f:1795271898958467057&th=18ea1647c4a90ff1&view=att&disp=inline&realattid=f_lpijcuy60
(2) Zarifhonarvar, "Economics of ChatGPT" https://mail.google.com/mail/u/0?ui=2&ik=29d80365f4&attid=0.2&permmsgid=msg-f:1795271898958467057&th=18ea1647c4a90ff1&view=att&disp=inline&realattid=f_lpijcxdq1
Thurs., Nov 16, 2023
Topic: “Indigenous Perspectives and AI”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1)https://www.japantimes.co.jp/news/2023/04/10/world/indigenous-language-ai-colonization-worries/
(2) https://www.scientificamerican.com/article/ai-can-help-indigenous-people-protect-biodiversity
(3) https://techpolicy.press/an-indigenous-perspective-on-generative-ai/
Thurs., Nov. 2, 2023
Topic: “Political Economy of AI”
Introduced by: Daniel Brunson (Morgan State University, Dept. of Philosophy & Religious Studies)
(1) "Origin Stories: Plantations, Computers, and Industrial Control"
Meredith Whittaker
https://logicmag.io/supa-dupa-skies/origin-stories-plantations-computers-and-industrial-control/
(2) "Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI" (2023)
Widder, West, and Whittaker
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807
Thurs., Oct. 19, 2023
Topic: “AI and health equity”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University)
(1) Hendricks-Sturrup et al., "Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI/ML…" (2023)
(2) Supplementary: “An Expert Panel Discussion Embedding Ethics & Equity in AI/ML” Big Data, (2023)
Thurs., Oct. 5, 2023
Topic: “AI and humor”
Introduced by: Daniel Brunson (Morgan State, Dept. of Philosophy & Religious Studies)
(1) Thomas Winters, "Computers Learning Humor is No Joke" (2021): https://hdsr.mitpress.mit.edu/pub/wi9yky5c/release/3
(2) Kramer, "The Philosophy of Humor: What Makes Something Funny?" (2022): https://1000wordphilosophy.com/2022/11/20/the-philosophy-of-humor/
(3) Anjum & Lieberman, "Exploring Humor in Natural Language Processing" (2023)
Thurs., Sept. 21, 2023
Topic: “Explainability of AI/ML systems in healthcare contexts”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Keller et al., "Augmenting Decision Competence in Healthcare Using AI-based Cognitive Models" (2020)
(2) Byeon, "Advances in Machine Learning and Explainable Artificial Intelligence for Depression Prediction" (2023)
Thurs., Sept. 7, 2023
Topic: “Gun-detection software in Baltimore schools”; “Operational criteria of consciousness in AI”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) and Phillip Honenberger (CEAMLS, Morgan State University)
(1) Wintrode, "Baltimore county schools add gun detection software to 7000 security cameras," Baltimore Banner (2023)
(2) Lenharo, "If AI becomes conscious, here's how researchers will know," Nature (2023): https://www.nature.com/articles/d41586-023-02684-5
(3) Finkel, "If AI becomes conscious, how will we know?" Science (2023): https://www.science.org/content/article/if-ai-becomes-conscious-how-will-we-know
(4) Supplementary: Butlin & Long et al., “Consciousness in Artificial Intelligence: Insights from the Science of Consciousness” (2023): https://arxiv.org/abs/2308.08708
Thurs., Aug. 17, 2023
Topic: “Big data and health equity”
Introduced by: Odia Kane (JHU)
(1) Doerr & Meeder, "Big Health Data Research and Group Harm: the Scope of IRB Review" (2022)
(2) Tsosie et al., "We Have Gifted Enough: Indigenous Genomic Data Sovereignty in Precision Medicine" (2021)
Thurs., Aug. 3, 2023
Topic: “AI and film”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1) Tong et al., "The Use of Deep Learning and VR Technology in Film and Television Production...", Frontiers in Psychology (2021): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080441/
(2) Pontefract, "Can Artificial Intelligence Help the Film Industry?"
Forbes (2023): https://www.forbes.com/sites/danpontefract/2023/04/24/can-artificial-intelligence-help-the-film-industry-it-already-is/?sh=14d1705948a4
(3) Smith, " 'Of course it's disturbing': Will AI change the film industry forever?" Guardian (2023): https://www.theguardian.com/film/2023/mar/23/ai-change-hollywood-film-industry-concern
Thurs., July 20, 2023
Topic: “AI ethics frameworks (meta-analysis)”; “analogy between biological and artificial neural networks”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Hagendorff, “The Ethics of AI Ethics” (2020)
(2) Macpherson et al., “Natural and Artificial Intelligence” (2021)
Thurs., July 6, 2023
Meeting canceled due to schedule conflicts
Thurs., June 15, 2023
Topic: “Turing test”; “large language models”; “artificial general intelligence (AGI)”
Introduced by: Pihlwa Lee (CEAMLS, Morgan State University)
(1) Terry Sejnowski, "Large Language Models and the Reverse Turing Test" (Neural Computation, 2023)
Thurs., June 1, 2023
Topic: “AI in education; human-AI interaction; research methods for exploring human-AI interaction”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1) Matt Cronin, “Do advances in AI risk a future of human incompetence?” (The Hill, May 2023)
(2) Hiekkilä, “A chatbot that asks questions could help you spot when it makes no sense”
(MIT Technology Review, April 2023)
(3) Danry et al., “Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanation as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations.”
CHI’ 23 (Conference on Human Factors in Computing Systems, April 2023)
(4) Jakesch et al., “Co-Writing with Opinionated Language Models Affects Users’ Views.” CHI’ 23 (Conference on Human Factors in Computing Systems, April 2023)
Thurs., May 18, 2023
Topic: “Prompt engineering; ChatGPT”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) & William Mapp (CEAMLS, Morgan State University)
(1) White et al., "A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT" (Arxiv preprint, 2023)
(2) Sorensen, Robinson, Rytting, et al., "An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels" (Arxiv preprint, 2022)
Thurs., May 4, 2023
Topic: “ethics of predictive AI applications; ethics of AI-informed decision making; ChatGPT; agency”
Introduced by: Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State)
(1) Desai et al., "Against predictive optimization" (2023): https://predictive-optimization.cs.princeton.edu/
(2) Floridi & Chiriatti, "GPT-3: Its Nature, Scope, Limits, and Consequences" (Minds & Machines, 2020): https://link.springer.com/article/10.1007/s11023-020-09548-1
(3) Floridi, "AI as Agency Without Intelligence" (Philosophy & Technology, 2023): https://link.springer.com/article/10.1007/s13347-023-00621-y
Thurs., April 20, 2023
Topic: “gating networks; Dynamic mixture of experts models; Wisconsin card sorting task; ANN-brain analogy; ChatGPT; AI “hallucinations”; political reaction to ChatGPT”
Introduced by: William Mapp (CEAMLS, Morgan State University)
(1) “A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex” (PNAS, 2020): https://www.pnas.org/doi/10.1073/pnas.2009591117
(2) “ChatGPT Invents Sexual Harassment Scandal” (The Sync, 2023): https://thesyncweekly.com/chatgpt-invents-sexual-harassment-scandal/
(3) “Italy bans ChatGPT” (The Sync, 2023): https://thesyncweekly.com/italy-bans-chatgpt/
Thurs., April 6, 2023
Topic: “generative adversarial networks (GANs); linking brain activity to visual experience via network models; COMPAS algorithm; fairness and bias in AI applications”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) and Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State)
(1) Takagi, Yu and Shinji Nishimoto, “High-resolution image reconstruction with latent diffusion models from human brain activity” (BioRxiv, 2022)
(2) Larson, Jeff, Surya Mattu, Lauren Kirchner, and Julia Angwin, “How we analyzed the COMPAS recidivism algorithm” (ProPublica, 2016): https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm
All researchers with an interest in AI-ML technologies and their sociopolitical dimensions are welcome to join the group. Email [email protected] to be added to the mailing list.
Interdisciplinary AI & Machine Learning Working Group – Mission Statement
AI commands great interest today across public, commercial, and academic forums. There remains a disconnect, however, between discussions of AI that focus on technical details such as specific machine learning approaches, models, and data sets, on the one hand, and those that focus on broader social, scientific, and philosophical implications, on the other. This group aims to connect these concerns by reading and discussing recent publications that engage with both dimensions in some way. We welcome researchers from all areas – STEM, social science, and humanities – with an interest in both the technical aspects of AI and machine learning and their larger context and significance.
Current Meeting Times (subject to change by group agreement):
1st and 3rd Tuesdays of each month from 12:00pm-1:00pm EST, by Zoom
Hosts / organizers:
Gabriella Waters (CEAMLS) and Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State University)
Contact for more information / expressions of interest:
Phillip Honenberger ([email protected])
Previous meetings (updated April 2, 2024):
Tues., April 2, 2024
Topic: “Introduction to Bias Mitigation Techniques”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Feldman & Peake, "End-to-End Bias Mitigation: Removing Gender Bias in Deep Learning" (2021)
(2) Wang & Russokovsky, "Overwriting Pretrained Bias with Finetuning Data" (2023)
Tues., March 5, 2024
Topic: “Diffusion Models and Image Generative AI”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Robertson, “Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis” (2024), The Verge (https://www.theverge.com/2024/2/21/24079371/google-ai-gemini-generative-inaccurate-historical )
(2) Isaacs-Thomas, “How AI turns text into images” (2023), PBS News Hour (https://www.pbs.org/newshour/science/how-ai-makes-images-based-on-a-few-words)
(3) Bushwick et al., “See how AI generates images from text” (2023),
(https://www.scientificamerican.com/article/see-how-ai-generates-images-from-text/ )
(4) OPTIONAL (for the “deep dive”): Yang et al., “Diffusion Models: A Comprehensive Survey of Methods and Applications” (2023), ACM Computing Surveys (https://www.researchgate.net/publication/374330983_Diffusion_Models_A_Comprehensive_Survey_of_Methods_and_Applications)
Tues., Feb. 20, 2024
Topic: “Women in AI / Diversity in AI Workforce”
Introduced by: Saata Senii (Morgan State University)
(1) Kassova, “Where are all the ‘godmothers’ of AI?” (2023) https://www.theguardian.com/global-development/2023/nov/25/where-are-godmothers-of-ai-womens-voices-not-heard-in-tech-sam-altman-openai
(2) McKinsey Report on AI, 2022: The state of AI in 2022 – and a half-decade in review
(3) Bemba, “NYT Missed These 12 Trailblazers: Meet the Women Transforming AI”:
https://medium.com/womenintechnology/ny-times-missed-these-12-trailblazers-meet-the-women-transforming-ai-ae522f52a8b7
Tues., Feb. 6, 2024
Topic: “Student data, privacy, and AI in higher ed.”
Introduced by: Daniel Brunson (Morgan State, Dept. of Philosophy & Religious Studies)
(1) Mathewson, “He Wanted Privacy. His College Gave Him None.” (2023): https://themarkup.org/machine-learning/2023/11/30/he-wanted-privacy-his-college-gave-him-none
(2) Jones et al., “A Matter of Trust: Higher Education Institutions as Information Fiduciaries…” Journal of the Association for Information Science & Technology (2019)
Thurs., Dec. 7, 2023
Topic: “Generative AI’s Effects on Labor Markets”
Introduced by: Larry Liu (Sociology, Morgan State University)
(1) Hui et al., "Short Term Effects of Generative AI on Employment" (2023) https://mail.google.com/mail/u/0?ui=2&ik=29d80365f4&attid=0.1&permmsgid=msg-f:1795271898958467057&th=18ea1647c4a90ff1&view=att&disp=inline&realattid=f_lpijcuy60
(2) Zarifhonarvar, "Economics of ChatGPT" https://mail.google.com/mail/u/0?ui=2&ik=29d80365f4&attid=0.2&permmsgid=msg-f:1795271898958467057&th=18ea1647c4a90ff1&view=att&disp=inline&realattid=f_lpijcxdq1
Thurs., Nov 16, 2023
Topic: “Indigenous Perspectives and AI”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1)https://www.japantimes.co.jp/news/2023/04/10/world/indigenous-language-ai-colonization-worries/
(2) https://www.scientificamerican.com/article/ai-can-help-indigenous-people-protect-biodiversity
(3) https://techpolicy.press/an-indigenous-perspective-on-generative-ai/
Thurs., Nov. 2, 2023
Topic: “Political Economy of AI”
Introduced by: Daniel Brunson (Morgan State University, Dept. of Philosophy & Religious Studies)
(1) "Origin Stories: Plantations, Computers, and Industrial Control"
Meredith Whittaker
https://logicmag.io/supa-dupa-skies/origin-stories-plantations-computers-and-industrial-control/
(2) "Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI" (2023)
Widder, West, and Whittaker
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4543807
Thurs., Oct. 19, 2023
Topic: “AI and health equity”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University)
(1) Hendricks-Sturrup et al., "Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI/ML…" (2023)
(2) Supplementary: “An Expert Panel Discussion Embedding Ethics & Equity in AI/ML” Big Data, (2023)
Thurs., Oct. 5, 2023
Topic: “AI and humor”
Introduced by: Daniel Brunson (Morgan State, Dept. of Philosophy & Religious Studies)
(1) Thomas Winters, "Computers Learning Humor is No Joke" (2021): https://hdsr.mitpress.mit.edu/pub/wi9yky5c/release/3
(2) Kramer, "The Philosophy of Humor: What Makes Something Funny?" (2022): https://1000wordphilosophy.com/2022/11/20/the-philosophy-of-humor/
(3) Anjum & Lieberman, "Exploring Humor in Natural Language Processing" (2023)
Thurs., Sept. 21, 2023
Topic: “Explainability of AI/ML systems in healthcare contexts”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Keller et al., "Augmenting Decision Competence in Healthcare Using AI-based Cognitive Models" (2020)
(2) Byeon, "Advances in Machine Learning and Explainable Artificial Intelligence for Depression Prediction" (2023)
Thurs., Sept. 7, 2023
Topic: “Gun-detection software in Baltimore schools”; “Operational criteria of consciousness in AI”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) and Phillip Honenberger (CEAMLS, Morgan State University)
(1) Wintrode, "Baltimore county schools add gun detection software to 7000 security cameras," Baltimore Banner (2023)
(2) Lenharo, "If AI becomes conscious, here's how researchers will know," Nature (2023): https://www.nature.com/articles/d41586-023-02684-5
(3) Finkel, "If AI becomes conscious, how will we know?" Science (2023): https://www.science.org/content/article/if-ai-becomes-conscious-how-will-we-know
(4) Supplementary: Butlin & Long et al., “Consciousness in Artificial Intelligence: Insights from the Science of Consciousness” (2023): https://arxiv.org/abs/2308.08708
Thurs., Aug. 17, 2023
Topic: “Big data and health equity”
Introduced by: Odia Kane (JHU)
(1) Doerr & Meeder, "Big Health Data Research and Group Harm: the Scope of IRB Review" (2022)
(2) Tsosie et al., "We Have Gifted Enough: Indigenous Genomic Data Sovereignty in Precision Medicine" (2021)
Thurs., Aug. 3, 2023
Topic: “AI and film”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1) Tong et al., "The Use of Deep Learning and VR Technology in Film and Television Production...", Frontiers in Psychology (2021): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080441/
(2) Pontefract, "Can Artificial Intelligence Help the Film Industry?"
Forbes (2023): https://www.forbes.com/sites/danpontefract/2023/04/24/can-artificial-intelligence-help-the-film-industry-it-already-is/?sh=14d1705948a4
(3) Smith, " 'Of course it's disturbing': Will AI change the film industry forever?" Guardian (2023): https://www.theguardian.com/film/2023/mar/23/ai-change-hollywood-film-industry-concern
Thurs., July 20, 2023
Topic: “AI ethics frameworks (meta-analysis)”; “analogy between biological and artificial neural networks”
Introduced by: Phillip Honenberger (CEAMLS, Morgan State University)
(1) Hagendorff, “The Ethics of AI Ethics” (2020)
(2) Macpherson et al., “Natural and Artificial Intelligence” (2021)
Thurs., July 6, 2023
Meeting canceled due to schedule conflicts
Thurs., June 15, 2023
Topic: “Turing test”; “large language models”; “artificial general intelligence (AGI)”
Introduced by: Pihlwa Lee (CEAMLS, Morgan State University)
(1) Terry Sejnowski, "Large Language Models and the Reverse Turing Test" (Neural Computation, 2023)
Thurs., June 1, 2023
Topic: “AI in education; human-AI interaction; research methods for exploring human-AI interaction”
Introduced by: Lara Simmons (CEAMLS, Morgan State University)
(1) Matt Cronin, “Do advances in AI risk a future of human incompetence?” (The Hill, May 2023)
(2) Hiekkilä, “A chatbot that asks questions could help you spot when it makes no sense”
(MIT Technology Review, April 2023)
(3) Danry et al., “Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanation as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations.”
CHI’ 23 (Conference on Human Factors in Computing Systems, April 2023)
(4) Jakesch et al., “Co-Writing with Opinionated Language Models Affects Users’ Views.” CHI’ 23 (Conference on Human Factors in Computing Systems, April 2023)
Thurs., May 18, 2023
Topic: “Prompt engineering; ChatGPT”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) & William Mapp (CEAMLS, Morgan State University)
(1) White et al., "A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT" (Arxiv preprint, 2023)
(2) Sorensen, Robinson, Rytting, et al., "An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels" (Arxiv preprint, 2022)
Thurs., May 4, 2023
Topic: “ethics of predictive AI applications; ethics of AI-informed decision making; ChatGPT; agency”
Introduced by: Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State)
(1) Desai et al., "Against predictive optimization" (2023): https://predictive-optimization.cs.princeton.edu/
(2) Floridi & Chiriatti, "GPT-3: Its Nature, Scope, Limits, and Consequences" (Minds & Machines, 2020): https://link.springer.com/article/10.1007/s11023-020-09548-1
(3) Floridi, "AI as Agency Without Intelligence" (Philosophy & Technology, 2023): https://link.springer.com/article/10.1007/s13347-023-00621-y
Thurs., April 20, 2023
Topic: “gating networks; Dynamic mixture of experts models; Wisconsin card sorting task; ANN-brain analogy; ChatGPT; AI “hallucinations”; political reaction to ChatGPT”
Introduced by: William Mapp (CEAMLS, Morgan State University)
(1) “A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex” (PNAS, 2020): https://www.pnas.org/doi/10.1073/pnas.2009591117
(2) “ChatGPT Invents Sexual Harassment Scandal” (The Sync, 2023): https://thesyncweekly.com/chatgpt-invents-sexual-harassment-scandal/
(3) “Italy bans ChatGPT” (The Sync, 2023): https://thesyncweekly.com/italy-bans-chatgpt/
Thurs., April 6, 2023
Topic: “generative adversarial networks (GANs); linking brain activity to visual experience via network models; COMPAS algorithm; fairness and bias in AI applications”
Introduced by: Gabriella Waters (CEAMLS, Morgan State University) and Phillip Honenberger (CEAMLS; Dept. of Philosophy & Religious Studies, Morgan State)
(1) Takagi, Yu and Shinji Nishimoto, “High-resolution image reconstruction with latent diffusion models from human brain activity” (BioRxiv, 2022)
(2) Larson, Jeff, Surya Mattu, Lauren Kirchner, and Julia Angwin, “How we analyzed the COMPAS recidivism algorithm” (ProPublica, 2016): https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm