In this episode of AI Ignited, host Elif Baser sits down with Defne Baysal to explore how artificial intelligence is reshaping education and making learning more accessible than ever before. From intelligent tutoring systems and adaptive assessments to immersive simulations and AI-powered collaboration, they examine how AISEC tools are creating personalized, inclusive, and engaging classrooms, but alongside these opportunities come challenges. Are AI-enhanced tools equally available to all students, or does the digital divide risk leaving some behind? Drawing on insights from UNESCO, recent academic studies, and global initiatives, they discuss the gap between availability and accessibility, and what must be done to ensure equity.Looking ahead, Defne shares a vision of the future of education: individualized learning journeys, continuous adaptive assessments, global collaboration across languages and borders, and simulation-based labs that bring practical experiences to every student. At the same time, policymakers and educators will face the urgent task of updating curricula, safeguarding ethics, and addressing inequality.
Join us for a deep dive into the promise and pitfalls of AI in education — and discover how we can harness innovation to create not just better education, but fairer education.

In this episode of AI Ignited, host Elif Baser and guest Mehmet Emir Oner discuss how AI emerged. From the renowned Turing machine to current daily uses, they discover the fascinating field of AI that is shaping today's world.If you are wondering how AI came into life, consider tuning in to our episode to learn more about it.

In this episode of AI Ignited, host Elif Baser sits down with Zeynep Polat to explore one of the most exciting frontiers in artificial intelligence: Brain-Inspired AI. What if computers could think more like us—efficient, adaptive, and energy-conscious? Together, they unpack neuromorphic computing, a new approach to designing AI chips that mimic neurons and synapses, promising massive gains in speed and sustainability. They also dive into spiking neural networks (SNNs), models that “fire” like real neurons, capturing not just data but also timing, rhythm, and context. From Intel’s experimental Loihi chip to IBM’s TrueNorth project, the conversation highlights how close we are to AI that works less like a calculator and more like a brain. The future may be one where machines process information as elegantly as we do—powerful, adaptable, and built to last. Tune in for a thought-provoking discussion on how brain-inspired AI could transform robotics, wearable tech, and the way AI integrates into our daily lives.

On this episode of AI Ignited, host Elif Baser speaks with Ela Geris about one of the most crucial frontiers of artificial intelligence: digital stalking. From AI-powered facial recognition and data scraping to bots that automate harassment across platforms, Ela explains how technology designed for innovation is being twisted into a tool of control.Ela highlights real cases reported by The Guardian, The Herald Sun, and The Associated Press that show how AI has amplified harassment, from impersonations and deepfakes to the creation of fabricated relationships. She also looks at research published in arXiv and Springer that is working to detect stalking behaviors and push for stronger  frameworks.With pop culture references and real-life stories where smart devices were hacked and misused, this conversation reveals just how blurred the line between fiction and reality has become.

In this episode of AI Ignited, host Elif Baser sits down with guest Ceylin Duru Akaydin to explore one of the most fascinating questions at the intersection of psychology and technology: Can artificial intelligence develop something like personality, identity, or even morality? Drawing on insights from the Big Five personality model, Jung’s introversion-extroversion, Erikson’s identity theory, and Kohlberg’s stages of moral development, the conversation unpacks whether AI is just simulating trait—or if it’s edging toward a digital “self.”
Along the way, Elif and Ceylin highlight cutting-edge research from MIT, Stanford, DeepMind, Tokyo University, and Carnegie Mellon on how humans perceive machine personalities and even form emotional bonds with them. From extroverted chatbots to moral algorithms, this episode asks: What happens when the line between human selfhood and machine simulation begins to blur?

Why do we talk to chatbots like they’re people? In this episode, Elif Baser sits down with
returning guest Ada Öztürkmen to unpack the psychology behind anthropomorphizing
AI. From social robots in nursing homes to emotionally responsive assistants, we
explore how human brains are wired to see minds—even in machines.
Ada brings in insights from global research labs, real-world UX design, and cultural
psychology to explain why anthropomorphism is powerful, useful, and sometimes risky.
Whether you're a developer, student, or tech enthusiast, this episode will change the way
you think about digital assistants—and yourself.

In this episode of AI Ignited, host Elif Başer sits down with Defne Baysal to explore how natural language processing (NLP) fuels the future of artificial intelligence. Drawing on insights from cutting-edge research—from explainable AI in NLP, to legal applications linking Supreme Court hearings with judgments, to the evolution of distributed AI systems—they uncover how machines are learning to understand, interpret, and generate human language. Together, they dive into the challenges of transparency, the promise of neuroscience-inspired tools, and the growing role of NLP in education and justice.
Tune in to discover how words, data, and intelligence come together to reshape how we communicate with AI—and how AI, in turn, transforms our world.

In this episode of AI Ignited, host Elif Baser sits down with Ceylin Duru Akaydin to explore one of the most mysterious frontiers of science: AI and dreams. From fMRI scans that let machines re-create what we see, to AI-guided lucid dreaming experiments, they dive into how psychology, neuroscience, and technology are converging to decode the subconscious. Could a future device like “DreamScribe” record your nightly adventures? What does this mean for therapy and creativity? With insights from pioneering research at MIT, Harvard, and beyond, this episode unpacks both the promise and the ethical dilemmas of letting AI peer into our sleeping minds. 
Dreams may be fleeting — but with AI, they might soon be unforgettable.

Today on AI Ignited host Elif Baser and guest Ece Kuzuimamlar dive into the critical question shaping the future of artificial intelligence: When AI goes wrong, who’s to blame?From self-driving car accidents to biased hiring algorithms, the legal system is trying to keep pace. Together, they explore how liability is assigned — whether to developers, deployers, or corporations — and why AI itself can’t be held accountable. Drawing on insights from the Carnegie Council, Ece explains how regulators are adapting product safety laws, enforcing transparency and explainability.This episode unpacks real-world cases, the European Union’s AI Act, and future models for risk-sharing like AI insurance pools. Whether you’re in tech, law, or just curious about the balance between innovation and law, this conversation highlights why accountability is essential for trust in AI.

On this episode of AI Ignited, host Elif Baser and guest Defne Zeynep Baysal explore the cutting edge of AI recognition technologies—from classrooms that take attendance with facial recognition to AI rangers protecting tigers on railway tracks.
They spotlight global research powerhouses like Stanford SAIL, Professor Serge Belongie in Denmark, Professor Rita Cucchiara in Italy, and pioneers in emotion and smell recognition, including Osmo Labs and SMELLNET. Along the way, they discuss brain-inspired AI at the University of Maryland, bias testing at the AI Safety Institute, and new frontiers like Meta’s “super-sensing” smart glasses.With  real-world examples and critical questions about ethics and fairness, this episode reveals how AI is learning not just to see us, but to sense us—and why guiding it responsibly is essential.