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Pondering AI

Kimberly Nevala, Strategic Advisor - SAS

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How is the use of artificial intelligence (AI) shaping our human experience? Kimberly Nevala ponders the reality of AI with a diverse group of innovators, advocates and data scientists. Ethics and uncertainty. Automation and art. Work, politics and culture. In real life and online. Contemplate AI’s impact, for better and worse. All presentations represent the opinions of the presenter and do not represent the position or the opinion of SAS.
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Robert Mahari examines the consequences of addictive intelligence, adaptive responses to regulating AI companions, and the benefits of interdisciplinary collaboration. Robert and Kimberly discuss the attributes of addictive products; the allure of AI companions; AI as a prescription for loneliness; not assuming only the lonely are susceptible; regu…
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Phaedra Boinodiris minds the gap between AI access and literacy by integrating educational siloes, practicing human-centric design, and cultivating critical consumers. Phaedra and Kimberly discuss the dangerous confluence of broad AI accessibility with lagging AI literacy and accountability; coding as a bit player in AI design; data as an artifact …
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Ryan Carrier trues up the benefits and costs of responsible AI while debunking misleading narratives and underscoring the positive power of the consumer collective. Ryan and Kimberly discuss the growth of AI governance; predictable resistance; the (mis)belief that safety impedes innovation; the “cost of doing business”; downside and residual risk; …
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Olivia Gambelin values ethical innovation, revels in human creativity and curiosity, and advocates for AI systems that reflect and enable human values and objectives. Olivia and Kimberly discuss philogagging; us vs. “them” (i.e. AI systems) comparisons; enabling curiosity and human values; being accountable for the bombs we build - figuratively spe…
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Helen Beetham isn’t waiting for an AI upgrade as she considers what higher education is for, why learning is ostensibly ripe for AI, and how to diversify our course. Helen and Kimberly discuss the purpose of higher education; the current two tribe moment; systemic effects of AI; rethinking learning; GenAI affordances; the expertise paradox; product…
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Steven Kelts engages engineers in ethical choice, enlivens training with role-playing, exposes organizational hazards and separates moral qualms from a duty to care. Steven and Kimberly discuss Ashley Casovan’s inspiring query; the affirmation allusion; students as stochastic parrots; when ethical sophistication backfires; limits of ethics review b…
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Susie Alegre makes the case for prioritizing human rights and connection, taking AI systems to account, minding the right gaps, and resisting unwitting AI dependency. Susie and Kimberly discuss the Universal Declaration of Human Rights (UDHR); legal protections and access to justice; human rights laws; how court cases impact legislative will; the w…
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Eryk Salvaggio articulates myths animating AI design, illustrates the nature of creativity and generated media, and artfully reframes the discourse on GenAI and art. Eryk joined Kimberly to discuss myths and metaphors in GenAI design; the illusion of control; if AI saves time and what for; not relying on futuristic AI to solve problems; the fallacy…
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Geertrui Mieke de Ketelaere reflects on the uncertain trajectory of AI, whether AI is socially or environmentally sustainable, and using AI to become good ancestors. Mieke joined Kimberly to discuss the current trajectory of AI; uncertainties created by current AI applications; the potent intersection of humanlike AI and heightened social/personal …
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Vaishnavi J respects youth, advises considering the youth experience in all digital products, and asserts age-appropriate design is an underappreciated business asset. Vaishnavi joined Kimberly to discuss: the spaces youth inhabit online; the four pillars of safety by design; age-appropriate design choices; kids’ unique needs and vulnerabilities; w…
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Kathleen Walch and Ron Schmelzer analyze AI patterns and factors hindering adoption, why AI is never ‘set it and forget it’, and the criticality of critical thinking. The dynamic duo behind Cognilytica (now PMI) join Kimberly to discuss: the seven (7) patterns of AI; fears and concerns stymying AI adoption; the tension between top-down and bottom-u…
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Dr. Marisa Tschopp explores our evolving, often odd, expectations for AI companions while embracing radical empathy, resisting relentless PR and trusting in humanity. Marisa and Kimberly discuss recent research into AI-based conversational agents, the limits of artificial companionship, implications for mental health therapy, the importance of radi…
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John Danaher assesses how AI may reshape ethical and social norms, minds the anticipatory gap in regulation, and applies the MVPP to decide against digitizing himself. John parlayed an interest in science fiction into researching legal philosophy, emerging technology, and society. Flipping the script on ethical assessment, John identifies six (6) m…
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Ben Bland expressively explores emotive AI’s shaky scientific underpinnings, the gap between reality and perception, popular applications, and critical apprehensions. Ben exposes the scientific contention surrounding human emotion. He talks terms (emotive? empathic? not telepathic!) and outlines a spectrum of emotive applications. We discuss the po…
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Philip Rathle traverses from knowledge graphs to LLMs and illustrates how loading the dice with GraphRAG enhances deterministic reasoning, explainability and agency. Philip explains why knowledge graphs are a natural fit for capturing data about real-world systems. Starting with Kevin Bacon, he identifies many ‘graphy’ problems confronting us today…
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Matthew Scherer makes the case for bottom-up AI adoption, being OK with not using AI, innovation as a relative good, and transparently safeguarding workers’ rights. Matthew champions a worker-led approach to AI adoption in the workplace. He traverses the slippery slope from safety to surveillance and guards against unnecessarily intrusive solutions…
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Heidi Lanford connects data to cocktails and campaigns while considering the nature of data disruption, getting from analytics to AI, and using data with confidence. Heidi studied mathematics and statistics and never looked back. Reflecting on analytics then and now, she confirms the appetite for data has never been higher. Yet adoption, momentum a…
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Marianna B. Ganapini contemplates AI nudging, entropy as a bellwether of risk, accessible ethical assessment, ethical ROI, the limits of trust and irrational beliefs. Marianna studies how AI-driven nudging ups the ethical ante relative to autonomy and decision-making. This is a solvable problem that may still prove difficult to regulate. She posits…
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Miriam Vogel disputes AI is lawless, endorses good AI hygiene, reviews regulatory progress and pitfalls, boosts literacy and diversity, and remains net positive on AI. Miriam Vogel traverses her unforeseen path from in-house counsel to public policy innovator. Miriam acknowledges that AI systems raise some novel questions but reiterates there is mu…
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Melissa Sariffodeen contends learning requires unlearning, ponders human-AI relationships, prioritizes outcomes over outputs, and values the disquiet of constructive critique. Melissa artfully illustrates barriers to innovation through the eyes of a child learning to code and a seasoned driver learning to not drive. Drawing on decades of experience…
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Shannon Mullen O’Keefe champions collaboration, serendipitous discovery, curious conversations, ethical leadership, and purposeful curation of our technical creations. Shannon shares her professional journey from curating leaders to innovative ideas. From lightbulbs to online dating and AI voice technology, Shannon highlights the simultaneously bea…
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Sarah Gibbons and Kate Moran riff on the experience of using current AI tools, how AI systems may change our behavior and the application of AI to human-centered design. Sarah and Kate share their non-linear paths to becoming leading user experience (UX) designers. Defining the human-centric mindset Sarah stresses that intent is design and we are a…
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Simon Johnson takes on techno-optimism, the link between technology and human well-being, the law of intended consequences, the modern union remit and political will. In this sobering tour through time, Simon proves that widespread human flourishing is not intrinsic to tech innovation. He challenges the ‘productivity bandwagon’ (an economic maxim s…
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Professor Rose Luckin provides an engaging tutorial on the opportunities, risks, and challenges of AI in education and why AI raises the bar for human learning. Acknowledging AI’s real and present risks, Rose is optimistic about the power of AI to transform education and meet the needs of diverse student populations. From adaptive learning platform…
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Katrina Ingram addresses AI power dynamics, regulatory floors and ethical ceilings, inevitability narratives, self-limiting predictions, and public AI education. Katrina traces her career from communications to her current pursuits in applied AI ethics. Showcasing her way with words, Katrina dissects popular AI narratives. While contemplating AI FO…
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Paulo Carvão discusses AI’s impact on the public interest, emerging regulatory schemes, progress over perfection, and education as the lynchpin for ethical tech. In this thoughtful discussion, Paulo outlines the cultural, ideological and business factors underpinning the current data economy. An economy in which the manipulation of personal data in…
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Dr. Erica Thompson reflects on Making Model Decisions about and with AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Erica’s book Escape from Model Land: How Mathematical Models Can Lead Us Astray and What We Can Do About It…
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Roger Spitz reflects on Upskilling Human Decision Making in the age of AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Roger’s book series The Definitive Guide to Thriving on DisruptionBy Kimberly Nevala, Strategic Advisor - SAS
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Henrik Skaug Sætra reflects on Environmental and Social Sustainability with AI. In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Henrik’s latest book: Technology and Sustainable Development: The Promise and Pitfalls of Techno-Solutionism…
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Ganes Kesari confronts AI hype and calls for balance, reskilling, data literacy, decision intelligence and data storytelling to adopt AI productively. Ganes reveals the reality of AI and analytics adoption in the enterprise today. Highlighting extreme divides in understanding and expectations, Ganes provides a grounded point of view on delivering s…
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Dr. Christina Colclough addresses tech determinism, the value of human labor, managerial fuzz, collective will, digital rights, and participatory AI deployment. Christina traces the path of digital transformation and the self-sustaining narrative of tech determinism. As well as how the perceptions of the public, the C-Suite and workers (aka wage ea…
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Reid Blackman confronts whack-a-mole approaches to AI ethics, ethical ‘do goodery,’ squishy values, moral nuance, advocacy vs. activism and overfitting for AI. Reid distinguishes AI for ‘not bad’ from AI ‘for good’ and corporate social responsibility. He describes how the language of risk creates a bridge between ethics and business. Debunking the …
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Ilke Demir depicts the state of generative AI, deepfakes for good, the emotional shelf life of synthesized media, and methods to identify AI-generated content. Ilke provides a primer on traditional generative models and generative AI. Outlining the fast-evolving capabilities of generative AI, she also notes their current lack of controls and transp…
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Professor J Mark Bishop reflects on the trickiness of language, how LLMs work, why ChatGPT can’t understand, the nature of AI and emerging theories of mind. Mark explains what large language models (LLM) do and provides a quasi-technical overview of how they work. He also exposes the complications inherent in comprehending language. Mark calls for …
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Chris McClean reflects on ethics vs. risk, ethically positive outcomes, the nature of trust, looking beyond ourselves, privacy at work and in the metaverse. Chris outlines the key differences between digital ethics and risk management. He emphasizes the discovery of positive outcomes as well as harms and where a data-driven approach can fall short.…
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Henrik Skaug Sætra contends humans aren’t mere machines, assesses AI thru a sustainable development lens and weighs the effect of political imbalances and ESG. Henrik embraces human complexity. He advises against applying AI to naturally messy problems or to influence populations least able to resist. Henrik outlines how the UN Sustainable Developm…
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Dr. Mark Coeckelbergh is a Professor of Philosophy of Media and Technology, a member of the High-Level Expert Group on Artificial Intelligence (EC) and the Austrian Council on Robotics and AI. In this insightful discussion, Mark explains why AI systems are not merely tools or strictly rational endeavors. He describes the challenges created when AI …
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Patrick Hall is the Principal Scientist at bnh.ai. Patrick artfully illustrates how data science has become divorced from scientific rigor. At least, that is, in popular conceptions of the practice. Kimberly and Patrick discuss the pernicious influence of the McNamara Fallacy, applying the scientific method to algorithmic development and keeping an…
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Fernando Lucini is the Global Data Science & ML Engineering Lead (aka Chief Data Scientist) at Accenture. Fernando Lucini outlines common uses for AI generated synthetic data. He emphasizes that synthetic data is a facsimile – close, but not quite real - and debunks the notion it is inherently private. Kimberly and Fernando discuss the potential pi…
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Roger Spitz is the CEO of Techistential and Chairman of the Disruptive Futures Institute. In this thought-provoking discussion, Roger discusses why neither humans nor AI systems are great at decision making in complex environments. But why humans should be. Roger unveils the insidious influence of AI systems on human decisions and why uncertainty i…
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