Within the public creativeness, AI typically seems as a machine with glowing eyes, a chess grasp devoid of emotion, or an invisible mind optimizing the whole lot. However hear carefully to the individuals constructing it —the researchers, founders, ethicists, and mentors —and a really completely different image emerges.
AI isn’t simply code. It’s tradition, consequence, and conscience. And it’s being formed, proper now, by those that see its promise, but in addition its peril.
The People & AI Present, powered by AI Frontier Community, is an area the place this duality is unpacked by way of actual conversations. Not with hype retailers, however with considerate leaders grounded within the how, why, and for whom of AI.
From training to automation, belief methods to hybrid workplaces, these 5 episodes supply a lens into the human blueprint behind the expertise, and the values that may preserve it on track.
1. Andy Kurtzig — Combining AI with Human Experience
“You wouldn’t let an AI diagnose your child without a doctor involved, so why let it make decisions about your customers or your future without oversight?”
Andy Kurtzig, CEO of JustAnswer, begins with a easy premise: AI ought to improve human experience, not change it. He warns in opposition to blind religion in AI’s capabilities, arguing that real-world methods have to be designed with built-in checkpoints, human fallback, and radical accessibility.
His imaginative and prescient is one in all partnership. AI can scale intelligence, however people should present judgment, context, and compassion. Which means designing methods that designate themselves and ensuring they’re usable by extra than simply technical elites.
Lesson: Reliable AI is just not an engineering afterthought; it’s a design mandate.
Relevance: Important in an period of quickly scaling AI providers throughout well being, regulation, and buyer help.
2. Phil Tomlinson — Human-Centered AI by Design
Phil Tomlinson, SVP at TaskUs, doesn’t simply handle AI methods—he cultivates cultures of duty round them.
His episode dives deep into the precept of “human-centered AI”: expertise that’s clear, interpretable, and emotionally protected. He argues that design groups should embody ethicists, educators, and psychological well being consultants, not simply engineers.
“The human experience isn’t a data point. It’s the whole point.”
From gig employees to enterprise shoppers, Tomlinson’s concern is that AI choices typically have an effect on those that don’t have any seat on the design desk. He advocates for methods that aren’t solely correct, however comprehensible and honest, particularly to the individuals most impacted.
Lesson: The human component isn’t a variable. It’s the interface.
Relevance: Foundational for AI use in buyer expertise, content material moderation, and HR methods.
3. Doug Stephen — AI in Schooling, Emotional Intelligence, and the Way forward for Studying
Doug Stephen, an training govt and futurist, brings one thing uncommon to the AI dialog: empathy as a design precedence.
He’s not concerned about whether or not AI can grade sooner or ship customized math worksheets. He needs to know: Can it assist people change into extra emotionally clever? Extra collaborative? Extra resilient?
His work reveals how AI can help the human growth aspect of studying, augmenting the instructor’s capability to trace engagement, motivation, and even stress. In doing so, AI doesn’t change educators; it amplifies their care.
Lesson: Essentially the most highly effective AI in training doesn’t simply educate, it helps us develop.
Relevance: As AI instruments proliferate in lecture rooms, this episode outlines a roadmap for preserving humanity in digital studying.
4. Adnan Masood — Ethics, Mentorship, and the AI Builder’s Path
Adnan Masood has walked many paths: machine studying architect, mentor, instructor, and ethicist. On this episode, he displays on AI’s transformative potential and its quiet risks, bias, exclusion, and misuse.
Masood’s name is to mentor the subsequent era of AI builders, not simply in coding however in knowledge. He stresses group involvement, moral training, and constructing methods that may’t simply scale, however that ought to.
“We don’t need more coders. We need more conscious creators.”
Lesson: The way forward for AI lies not within the tech, however within the values we move all the way down to its builders.
Relevance: A must-listen for educators, builders, and policymakers shaping AI curricula and firm tradition.
5. Fabian Veit — Democratizing AI-Powered Automation
Automation, finished fallacious, looks like erosion, a quiet displacement of that means and goal. However Fabian Veit imagines a greater path.
In his dialog, Veit explores how AI-driven automation can empower groups, liberate time, and improve creativity—however provided that it’s designed with inclusion and accessibility in thoughts.
He’s constructing instruments that democratize entry to AI, so it doesn’t simply profit massive tech however small companies, NGOs, educators, and employees navigating hybrid realities.
Lesson: Automation should not simply enhance output, it should enhance dignity.
Relevance: Important for understanding the intersection of AI, labor, and office transformation.
Shared Perception: It’s Not Simply What We Construct, It’s How
Throughout these 5 voices, a standard theme emerges: Accountable AI is just not an consequence. It’s a follow.
- It means beginning with people, not information.
- It means considering long-term, not simply MVP.
- It means educating, listening, and adapting.
AI is just not inevitable. It’s intentional. And its trajectory relies on whether or not we’re prepared to construct with conscience, not simply ambition.
Begin Listening, Begin Main
These episodes don’t simply highlight issues; they provide principled blueprints for doing AI proper. In a world speeding towards automation, they remind us: the way forward for AI is just not about machines. It’s about us.
Discover the total sequence at aifn.co/humans-in-ai-show
