Technology is neither salvation nor threat on its own, it is an amplifier. Artificial intelligence can imitate language, pattern, and human systems, but imitation is not understanding, and acceleration is not discernment. In this episode, Ni’coel is joined by responsible-AI and international data-science leader Ricardo Baeza-Yates where they distinguish wisdom as Human Decision Intelligence: the capacity for reflective judgment in conditions of uncertainty, plurality, and consequence.

They explore how contemporary tools often remove the very conditions humans need to grow. They look at the rising tendency to outsource judgment, the difference between alignment and integrity; the risks of proxy data, and the widening divide between humans who develop sapience and those who surrender agency to machines.

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🔸Cohost: Ricardo Baeza-Yates is a a part-time WASP Professor at KTH Royal Institute of Technology in Stockholm, as well as part-time professor at the departments of Engineering of Universitat Pompeu Fabra in Barcelona and Computing Science of University of Chile in Santiago. He has been Director of Research at the Institute for Experiential AI of Northeastern University (2021-25) and VP of Research at Yahoo Labs (2006-16). He is a member of the AI Technology Policy committees of GPAI/OECD, ACM and IEEE. He is co-author of the best-seller Modern Information Retrieval textbook that won the ASIST 2012 Book of the Year award. He has won national scientific awards in Chile (2024) and Spain (2018). He has a Ph.D. in CS and his areas of expertise are responsible AI, web search and data mining plus data science and algorithms in general.

Ni’coel and Minh Do explore moral imagination as a core sapient capacity, one that expands the option set before optimization. The episode frames moral imagination as discernment plus analogical reasoning functioning as a pre-decision engine within Human Decision Intelligence. Moral imagination enables people to anticipate harm, identify outcomes worth scaling, and resist the drift toward automated thinking. Ni’coel points out how contemporary systems reward speed over reflection, measurable metrics over meaning, and selection over invention, leaving society to efficiently optimize the wrong things. The episode argues that cultivating moral imagination is no longer optional: it’s one of the essential antidotes to mental and emotional atrophy in an accelerating machine-driven era.

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🔸Cohost: Minh Do is an entrepreneur, filmmaker, and speaker. He is the co-founder of Machine Cinema, a collective focused on AI and emerging tech in film and art, and Fantastic Day, where he is cofounder and head of AI, working with musicians, brands, and filmmakers to produce AI content. Minh is also a producer at Fairground.tv, an AI FAST channel with the goal of producing a 24/7 slate of AI content to distribute globally.

Drawing from his diverse background as a former VC, journalist, musician, and teacher. Minh is curious about how AI will transform entertainment and how AI will challenge our understanding of consciousness, and in particular, where does Zen Buddhism and AI intersect.

Minh is in Creator Partner Programs for Google Labs, Sora, ChatGPT 4o Image, Pika, Luma Dream Machine, Quander, and more allowing him to play, teach, and showcase with the cutting edge of AI image and video generation.

Starkly is a conversation series in Human Decision Intelligence. We slow automated thinking so society and technology serve, not steer human judgment.

Context. Now, in the Fourth Industrial Revolution, society outsources not only tasks but judgment. Certain social and technological conditions quietly degrade thinking and decision-making. Starkly exists to slow automated thinking so human judgment leads.

What HDI is. Ni'coel's pedagogy and framework, not therapy, not productivity hacks, not change-management.

What breaks today. Legacy KPIs/OKRs optimize machine-legible outputs (throughput/compliance). Forcing sapience into those yardsticks too early creates category error and brittleness.

What we practice.

• Discernment (precision of perception)

• Moral imagination (future-consequences with human context)

• Xenopathy (increasing tolerance for our ignorance and anxiety around other)

• Metacognition (watching how we think while we think)

• Analogical reasoning (fit by ontology, not label)

• Foresight (long-horizon consequence scanning)

• Working in liminality and existential math (holding uncertainty and doing advanced inter-domain analysis)

• Cathedral thinking (decisions that compound across long horizons)

• Responsive tempo (speed calibrated to reality, not dashboards)

• Spectatorship → Participation (agency recovery)

How outcomes change. We repattern perception and decision pipelines so good choices become native under pressure (anxiety). We reduce projection errors, shorten repair cycles, and improve long-horizon bet quality.

Human-legible indicators we track

• Decision latency (from reflex to optimal)

• Rework / repair cycles (cycle count and depth)

• Projection error rate (as surfaced in post debriefs)

• Ambiguity tolerance (measured in anxiety levels)

• Relational repair rate (conflict → closure cadence)

Principle: stabilize in humans before any machine instrumentation.

Explore the global learning hub:humandecisionintelligence.com

Ni’coel and Cephra pry open the cultural certainty around empathy and propose a more intelligent starting point: xenopathy. Rather than projecting sameness: “I know how you feel because I’d feel that way too if I were in your shoes,” xenopathy begins by acknowledging radical difference, and by tolerating the ignorance and anxiety that difference evokes. Empathy, Ni'coel argues, often collapses distinction into relatability, inviting projection, bias, and even performative concern. Xenopathy reframes the task as ethical care without the precondition of identification, imagination, or love. They test concrete cases (grief, gender, race, organizational life, DEI), and return to Human Decision Intelligence's core: skill has less use without capacity. By changing the language we start with, we change the decisions we make, trading tidy heuristics for curiosity, responsibility, and more accurate care across real asymmetries of risk and experience.

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🔸Cohost: Cephra Stuart is a multidisciplinary storyteller, writer, director, actor, and singer. At Mansa and the Walt Disney Studios, she worked on audience research, content strategy, and DEI analytics to champion inclusive storytelling. Earlier in her career, she also supported culture and engagement initiatives at Bumble and Twitter, helping shape the internal environments and strategy behind some of today’s most influential platforms.

Nuance and human context, Ni’coel warns, are sacrificed on the altar of tidy TikTok taxonomies that pose as “wisdom” yet let us hide instead of grow. After years of pattern-tracking, she has traced every breakdown, or breakthrough, of intimacy, leadership, and collaboration to a three-part scaffold:

Skill — practiced competency: noticing, naming, communicating, executing.

Capacity — nervous-system range: the load-bearing substrate that can stay with pleasure, threat, ambiguity, intimacy without numbing or ejecting.

Desire — the animating appetite: willingness to pay the initiation fee of change.

This triad serves as a diagnostic dashboard for founders, spouses, and strategists alike: locate the missing leg and you know where to invest practice, regulation work, or motivational fire. Ignore it, and friction-free substitutions accrue “decision debt,” eroding the relational field where real intelligence lives.

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🔸Cohost: Chelsea Makena’s work spans leadership development, enablement, engagement, and performance. She partners with founders and tech executives to build humane, high-performance systems. As one of CHDI’s earliest collaborators, she brings a grounded people lens that elevates our conversations on human systems.

Ni’coel and Chelsea expose slide-deck theater, the loud drift from participation to spectatorship that dilutes life into counterfeit living. Spectatorship masquerades as ordinary living yet swaps high-resolution, embodied experience for low-fidelity surrogates: KPI dashboards cheered from cushy offices, smart-city “innovators” tweeting triumphs from airports rather than the streets they claim to serve, and relationship tourists orbiting intimacy without ever docking.

Human Decision Intelligence happens only where statistical indicators interlace with tacit, embodied data; outsource the experience and our models grow brittle, decisions myopic, and humanity machine-like. The hidden ledger tallies surging loneliness, ambient anxiety, a thinning capacity for intimacy and innovation, and a dwindling willingness to risk for what truly matters.

🔸Explore the global learning hub: humandecisionintelligence.com

🔸Cohost: Chelsea Makena’s work spans leadership development, enablement, engagement, and performance. She partners with founders and tech executives to build humane, high-performance systems. As one of CHDI’s earliest collaborators, she brings a grounded people lens that elevates our conversations on human systems.

Ni'coel upend's the Puritan reflex to equate lying with moral failure and discover why deception is a generative ingredient, not a contaminant, in Human Decision Intelligence (HDI). Ni’coel and Chelsea trace a lineage of philosophers, comedians, lawyers, and even children who prove that you cannot grasp truth without first grappling with what makes a falsehood believable. In Human Decision Intelligence terms, every decision is only as strong as the assumptions it smuggles in; lies expose those hidden joints so the architecture can be reinforced rather than quietly corrode.

🔸Explore the global learning hub: humandecisionintelligence.com

🔸Cohost: Chelsea Makena’s work spans leadership development, enablement, engagement, and performance. She partners with founders and tech executives to build humane, high-performance systems. As one of CHDI’s earliest collaborators, she brings a grounded people lens that elevates our conversations on human systems.

In a culture that treats velocity as a proxy for competence, speed is a seductive decoy. It feels powerful, signals decisiveness, and soothes anxiety, yet it quietly accrues “decision debt” that erodes long-term efficiency. Ni’coel and Chelsea dissect one of modernity’s stickiest conflations: equating moving fast with moving well.

The episode dismantles the reflexive “faster-is-better” mindset and replaces it with a nuanced palette: speed as one tool among many, wielded consciously, contextually, and in service of outcomes that endure.

🔸Explore the global learning hub: humandecisionintelligence.com

🔸Cohost: Chelsea Makena’s work spans leadership development, enablement, engagement, and performance. She partners with founders and tech executives to build humane, high-performance systems. As one of CHDI’s earliest collaborators, she brings a grounded people lens that elevates our conversations on human systems.