AI-Ignited

As artificial intelligence begins to generate inventions, artworks, and written works at scale, one of the oldest pillars of law is being pushed to its limits: intellectual property. In this episode of AI Ignited, host Elif Başer explores with guest Meyra Güler whether AI can be considered an author or inventor — and what happens when machines start producing work that traditionally required human creativity. The conversation unpacks how global institutions such as the World Intellectual Property Organization, the U.S. Patent and Trademark Office, and the European Patent Office are responding to AI-generated outputs, and why most legal systems still refuse to recognize AI as an inventor or author. Despite this, AI is already deeply embedded in scientific discovery, design, media, and innovation pipelines, creating a growing gap between legal definitions and technological reality. The episode also examines how unclear ownership rules are affecting industries, slowing commercialization, and raising new economic risks. On a global scale, intellectual property is becoming a geopolitical issue, as countries adopt different models for regulating AI ownership, shaping who benefits from the next wave of technological innovation. At its core, this episode asks a defining question of the digital age: if AI helps create the future, who gets to own it?

Can artificial intelligence truly outperform human traders—or is Wall Street still fundamentally a human game? In this episode of AI Ignited, host Elif Başer welcomes Mira Bozkurt about the rapid transformation of global finance through AI-powered hedge funds, algorithmic trading systems, and autonomous investment tools. Drawing on recent research from institutions such as the London School of Economics and experimental machine learning studies in financial forecasting, the conversation explores where AI already dominates financial markets—and where it still falls short.

The episode breaks down how modern hedge funds use alternative data like sentiment analysis, satellite imagery, and real-time economic signals to make trading decisions, and why these systems excel in speed and pattern recognition but struggle during market shocks and regime changes. It also examines the rise of robo-advisors and personalized portfolio systems that are reshaping financial access while redefining the role of human advisors.

A key focus of the discussion is AI’s emerging ability to detect early warning signs of financial instability through sentiment shifts and volatility patterns—while also raising concerns that algorithmic systems can unintentionally amplify market turbulence through feedback loops. 

At its core, this episode asks a critical question for the future of global finance: as markets become increasingly driven by autonomous systems, will they become more efficient—or simply less understandable?

In this episode of AI Ignited, host Elif Başer welcomes Nil Çelikten about how governments are beginning to integrate gender rights into AI regulation, and why enforcement continues to lag behind ambition. Together, they unpack how algorithmic bias against women emerges in hiring systems, facial recognition, healthcare AI, and financial models and why these systems often scale historical inequality rather than correct it. Zooming out to international relations, the episode examines how AI governance has become a geopolitical arena. Finally, the discussion turns to labor markets, where automation and AI-driven restructuring are reshaping inequality itself: exposing women to greater displacement in vulnerable sectors while limiting representation in the systems being built to replace them. At its core, this episode asks a pressing question: as AI becomes infrastructure for modern life, are we designing systems that reduce inequality or quietly automate it?

 In this episode of AI Ignited, host Elif Başer sits down with orthodontic specialist Ecem Hozan to explore how artificial intelligence is transforming modern orthodontics and smile design. From Invisalign’s data-driven aligner systems to AI-powered 3D dental modeling and predictive treatment planning, dentistry is shifting from manual craftsmanship to precision engineering guided by machine learning.Together, they break down how AI analyzes thousands of orthodontic cases to predict tooth movement, reduce treatment time, and improve long-term stability. The conversation dives into digital smile design, where facial analysis and computer vision models generate personalized smile simulations before any clinical treatment begins.They also examine cutting-edge research in orthodontic AI, including relapse prediction, biomechanical modeling, and real-time treatment simulation through digital twins of the mouth.

While AI is dramatically increasing accuracy and efficiency, the episode emphasizes a key conclusion from current research: orthodontics remains a clinician-led science, with AI acting as a powerful decision-support tool rather than a replacement.This episode reveals how the future of dentistry is moving toward fully personalized, predictive, and preventive care, where smiles are not just corrected, but designed with scientific precision long before treatment starts.

Imagine a future where detecting cancer is as simple as taking an at-home test. Researchers at MIT have developed AI-designed molecular sensors that could one day help identify cancers and other diseases long before symptoms appear. By combining artificial intelligence, nanotechnology, and molecular biology, scientists are creating tiny sensors capable of detecting biological signals that would otherwise go unnoticed. 
In this episode of AI Ignited, host Elif Başer welcomes returning guest Ece Çırpan to explore how this breakthrough works, why it could transform cancer screening, and what it means for the future of preventive healthcare.

In this episode of AI Ignited, host Elif Başer explores how artificial intelligence is reshaping modern dentistry alongside guest Ecem Hozan. From AI-powered diagnostics that detect cavities, gum disease, and even early signs of oral cancer, to predictive orthodontic modeling and robotic-assisted procedures, dentistry is rapidly becoming a data-driven, digital field.The conversation breaks down how AI enhances, rather than replaces, dental professionals, acting as a powerful clinical support system that improves accuracy, speed, and patient communication. Ecem also discusses emerging innovations such as AI foundation models trained on millions of dental images, CBCT imaging advancements, and the rise of personalized treatment planning. Alongside its promise, the episode also examines key challenges, including data privacy concerns, algorithm bias, accessibility gaps, and the importance of maintaining human oversight in clinical decision-making.

Ultimately, this episode highlights a clear message: the future of dentistry lies in collaboration between human expertise and intelligent technology, paving the way for more preventive, precise, and patient-centered care.

Today on AI Ignited, host Elif Baser welcomes returning guest Lara Uluözen to explore how artificial intelligence is transforming battery science. From discovering new materials in days instead of decades to creating safer solid-state batteries and reducing dependence on lithium, AI is rapidly reshaping the future of energy storage. Together, they discuss how machine learning, digital twins, and autonomous laboratories are helping scientists design the batteries that could power tomorrow's electric vehicles, renewable energy systems, and smart technologies.

Today on AI Ignited, host Elif Baser welcomes returning guest Eren Keskin to explore how artificial intelligence is transforming the global financial industry. From fraud detection and algorithmic trading to AI-powered banking assistants, predictive analytics, and automated compliance systems, this episode dives into the technologies reshaping modern finance.

Drawing on insights from IBM, Deloitte, EY, HPE, and Unit4, the conversation examines how financial institutions are using AI to process massive amounts of data, improve efficiency, and personalize customer experiences. Elif and Eren also discuss the risks surrounding algorithmic bias, black-box decision-making, cybersecurity, financial regulation, and whether AI could destabilize markets if left unchecked. As finance enters the era of “intelligent banking,” what happens when algorithms begin influencing the global economy itself?

Today on AI Ignited, host Elif Baser and returning guest Neva Akin explore the rapidly evolving world of AI-powered In-Cabin Monitoring Systems (ICMS) and biometric technologies in smart vehicles. From infrared cameras tracking driver fatigue and distraction to emotion-responsive interfaces that adjust lighting and climate based on mood, the episode breaks down how artificial intelligence is transforming the driving experience.

Elif and Neva also discuss child and occupant detection systems designed to prevent hot car tragedies, the growing use of facial recognition and biometric authentication in vehicles, and the ethical concerns surrounding privacy, surveillance, and AI bias. Blending research in computer vision, affective computing, transportation safety, and machine learning, this episode examines both the promise and the risks of the intelligent cars of the future.

In this episode of AI Ignited, host Elif Baser sits down with Kaan Gungor to explore how AI is transforming one of humanity's oldest intellectual pursuits: mathematical discovery. They examine how advanced AI systems are helping mathematicians identify patterns, generate conjectures, and tackle problems that were once considered beyond the reach of computers.

The discussion highlights groundbreaking research from DeepMind, including AI-assisted discoveries in knot theory and representation theory, as well as the perspectives of renowned mathematician Terence Tao on the future of human-AI collaboration in mathematics. Elif and Kaan also break down key concepts such as the difference between conjectures and theorems, the challenges of mathematical reasoning, and why AI's growing role in research could reshape STEM education and scientific discovery.

Join us as we explore whether the next great mathematical breakthrough might come not from a lone genius, but from a partnership between human creativity and artificial intelligence.