Show Notes
Dr. Ash Watson studies how stories ranging from classic Sci-Fi to modern tales invoking moral imperatives, dystopian futures and economic logic shape our views of AI.
Ash and Kimberly discuss the influence of old Sci-Fi on modern tech; why we can’t escape the stories we’re told; how technology shapes society; acting in ways a machine will understand; why the language we use matters; value transference from humans to AI systems; the promise of AI’s promise; grounding AI discourse in material realities; moral imperatives and capitalizing on crises; economic investment as social logic; AI’s claims to innovation; who innovation is really for; and positive developments in co-design and participatory research.
Dr. Ash Watson is a Scientia Fellow and Senior Lecturer at the Centre for Social Research in Health at UNSW Sydney. She is also an Affiliate of the Australian Research Council (ARC) Centre of Excellence for Automated Decision-Making and Society (CADMS).
Related Resources: Ash Watson (Website): https://awtsn.com/ The promise of artificial intelligence in health: Portrayals of emerging healthcare technologies (Article): https://doi.org/10.1111/1467-9566.13840 An imperative to innovate? Crisis in the sociotechnical imaginary (Article): https://doi.org/10.1016/j.tele.2024.102229 A transcript of this episode is here.
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Leigh Felton believes we can benefit from AI systems without surrendering to them if we carefully consider the environments and behaviors we promote while deploying AI. Kimberly and Leigh discuss the power of perspective; organizations as people; using AI consciously; the AI environment and library etiquette; how AI use shapes human behavior; whether AI systems are adaptive; AI authority and narrow optimization; the gap between lived experience and historical data; the AI Emperor’s new clothes; quiet organizational failures; and who benefits from humanizing AI. Leigh Felton is the President of the AI for Job Security Foundation. Leigh applies her extensive experience leading communications, business strategy and operations at the world’s largest tech companies to help organizations make conscious decisions about and with AI. Related Resources: I Could’ve Been CEO Yesterday V1: But AI Algorithms Say I’m a DEI Risk Today (book) I Could’ve Been CEO Yesterday V2: Does AI Decide Who’ll Be CEO Tomorrow? (book) Inside Power w/ Leigh Felton (newsletter) A transcript of this episode is here.
Sarah Barrington shifts from simply asking “real or fake?” to deeply considering the ways AI and synthetic media influence our notions of culture, identity and trust. Kimberly and Sarah discuss her road from the fast track of F1 to the frontlines of AI; the genesis of photography; supercharging existing harms with GenAI; the unsavory roots of synthetic media; microtargeting and information warfare; the liar’s dividend; content detection and digital identity; the agentic AI challenge; culture, identity and relevance; Mythos, AI access and proliferation; anti-regulatory narratives; the nuclear analogy; equipping policy makers and the public; questioning everything; and true AI enablement. Sarah Barrington is an AI researcher and PhD Candidate at UC Berkeley where she is part of Professor Hany Farid’s digital forensics lab. She also holds multiple cybersecurity positions. A specialist in generative AI & deepfake analysis, Sarah’s work has been cited at the Nobel Prize Summit, on NPR, by the UN and in numerous publications. Related Resources: David Attenborough and the Voice That Revealed a Planet (article) Sarah’s Research and Publications (website) The DeepSpeak Dataset Get Real Security Labs A transcript of this episode is here.