Professor Insight Podcast - AI, Science and Business – Details, episodes & analysis

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Professor Insight Podcast - AI, Science and Business

Billy Sung

Business

Technology

Frequency: 1 episode/7d. Total Eps: 23

The Professor Insight Podcast is your TLDR or ”too long, didn’t read” guide to the frontiers of artificial intelligence, neuroscience, and technology that are reshaping business today. Curated by Professor Billy and fully powered by AI, we unpack the most intriguing news, novel research findings, and real-world applications, keeping you informed and ahead of the curve. Perfect for tech-savvy entrepreneurs, business leaders, and inquisitive minds, each episode equips you with actionable insights and fascinating perspectives. Tune in to discover how breakthroughs in AI and science apply to the world of business.

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EP23 - Trust, Attitudes, and AI: What 48,000 People Around the World Really Think

Season 1 · Episode 23

Tuesday, September 2, 2025 • Duration 25:26

In this episode, we explore the results of a major new global study from the University of Melbourne and KPMG titled Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025. Drawing on the views of more than 48,000 people across 47 countries, this research offers one of the most detailed snapshots to date of how AI is perceived, trusted, and used around the world. It examines differences between advanced and emerging economies, workplace adoption, student use in education, and the growing call for stronger governance.

The conversation unpacks why emerging economies are leading the way in AI trust and uptake, and why advanced economies are showing more scepticism. It highlights the gap between public confidence in AI’s technical ability and concerns about its safety and ethical use. You will hear about patterns in workplace behaviour, from productivity gains to policy breaches, and how students are using AI both to enhance learning and, in some cases, to bypass it. The episode also discusses the widespread demand for stronger AI regulation, especially to counter misinformation.

This discussion matters because it captures the reality of AI adoption beyond the headlines, showing both its opportunities and its risks. The findings reveal where trust is being built and where it is eroding, and why literacy, governance, and clear regulation are critical as adoption accelerates. Whether working in a business, leading a team, or studying in a university, understanding these trends can help in making informed decisions about how to engage with AI responsibly and effectively.

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EP22 - Why Pure AI Isn’t Enough for Understanding Human Behaviour: The Real Secret to Decision Prediction

Season 1 · Episode 22

Tuesday, August 26, 2025 • Duration 29:48

Think machines can predict your next move? Think again. In this episode, we dive into one of the most intriguing challenges at the crossroads of psychology, artificial intelligence, and business: can we truly predict what people will choose before they do? We explore the breakthrough research published in Nature Human Behaviour, spotlighting BEAST-GB, a revolutionary model that blends the best of behavioural science with cutting-edge machine learning. It’s not just another algorithm—it’s a new lens on how humans really make decisions.

Join us as we unpack why pure AI and raw data alone keep falling short in predicting real human choices. Discover how BEAST-GB leverages psychological insight, cognitive biases, and decades of behavioural research to outperform even the smartest deep learning models. You’ll also hear how these ideas are powering new tools like Accurment, designed to help marketers and decision-makers move beyond guesswork and gut instinct, transforming messy human data into clear, actionable strategy.

If you’re curious about the future of decision science, want to understand the secrets behind truly effective marketing, or just love uncovering what makes people tick, this episode is a must-listen. Hit play to find out why the smartest predictions don’t come from AI alone, but from a powerful partnership between machine learning and human understanding.

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EP21 - Can an AI Change Your Mind? A Meta-Analysis of 120 Experiments on AI Persuasion

Episode 21

Tuesday, August 19, 2025 • Duration 28:03

Is artificial intelligence the next master persuader? In this episode of Professor Insight Podcast, we dig into one of the most fascinating questions of the digital age: can AI agents actually out-persuade humans? Drawing on a landmark 2023 meta-analysis from the Journal of Communication, we explore the world of AI-powered chatbots, recommendation engines, and digital advisors, asking whether these technologies are quietly winning the battle for our beliefs, behaviors, and buying decisions.

Discover what actually makes AI persuasive, how machines subtly nudge us, and why our resistance to algorithm-driven advice might not be as strong as we think. We break down the latest science, sharing stories, surprising findings, and actionable insights. You will also hear about the situations where the human touch still holds the edge and why that matters.

Backed by nearly 90 studies and the experiences of more than 50,000 participants, this episode is your deep dive into the evolving psychology of influence. Whether you are a marketer, leader, educator, or just curious about how AI is shaping your everyday choices, you will find plenty here to challenge your assumptions. Tune in to see if you can really tell when you are being persuaded by a person or a machine.

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EP20 - Understanding Science Through LLMs? Beware of Generalisation Bias

Season 1 · Episode 20

Tuesday, August 12, 2025 • Duration 24:27

In this episode, we delve into one interesting findings in the world of AI and science communication. A new study published in Royal Society Open Science, authored by Uwe Peters and Benjamin Chin-Yee, reveals a systematic problem in how large language models summarise scientific research. Even when prompted for accuracy, many LLMs, including the latest versions of ChatGPT, Claude, and DeepSeek, consistently overgeneralise research findings. They take cautious, specific claims and subtly turn them into broad statements that were never actually made in the original papers.

This phenomenon called generalisation bias may not sound alarming at first, but its implications are massive. Imagine a clinical study that finds a treatment is effective in some patients being summarised as effective for all patients. Or nuanced scientific uncertainty being rewritten as confident advice. According to the study, AI-generated summaries are nearly five times more likely to contain these distortions than human-written summaries. And here’s the twist - the newer, more advanced models are often worse offenders than their predecessors.

If you rely on AI tools to digest research, teach, communicate, or make decisions based on scientific evidence, this episode is essential listening. We unpack how and why this bias happens, explore its potential risks for science, education, medicine, and media, and share practical tips for working smarter with LLMs.

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EP19 - What MIT Discovered About Your Brain When Writing with AI?

Season 1 · Episode 19

Tuesday, August 5, 2025 • Duration 24:43

What happens to your brain when you let AI do the thinking for you? In this episode, we explore a fascinating and widely discussed study out of the MIT Media Lab titled Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task. This research takes us deep into the cognitive consequences of using large language models like ChatGPT for academic work. Using EEG headsets to monitor brain activity, the study reveals something few of us want to hear: repeated reliance on AI might make your work easier but your brain weaker.

The researchers tracked students over four months as they wrote essays using either ChatGPT, a search engine, or no tools at all. The group that relied on AI not only showed weaker brain connectivity but also had trouble recalling their own work and claimed lower ownership of what they wrote. The paper introduces the concept of "cognitive debt"—the hidden cost of letting AI carry your intellectual load. Meanwhile, the "brain-only" group showed stronger neural activity, deeper memory retention, and a clearer sense of authorship.

This is not an anti-AI message. It is a moment to pause and consider how these tools are reshaping our learning, our memory, and our sense of self. Whether you are a student, educator, business leader, or technologist, understanding the neuroscience behind AI use is more important than ever. In this episode, we unpack what the data tells us and what it means for the way we think, learn, and create in a world increasingly mediated by machines.

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EP18 - Double Standards: Why Your AI Use Feels More Honest Than Everyone Else’s

Season 1 · Episode 18

Wednesday, July 30, 2025 • Duration 25:15

Is using generative AI more acceptable when you do it yourself than when someone else does it? According to a new study from the Rotterdam School of Management, most of us think so. This episode dives into the fascinating research behind the paper “Acceptability Lies in the Eye of the Beholder”, which explores how we judge AI-assisted work differently depending on who is using the tech. The authors conducted nine studies with nearly 4,500 participants to unpack how we assess human versus AI contribution — and the results are both surprising and incredibly relevant.

At the heart of the findings is a powerful bias. People believe they use AI tools like ChatGPT as a source of inspiration, while assuming others rely on them to outsource the heavy lifting. That difference in perception has real consequences. It affects how students are evaluated, how job applicants are judged, and how AI-generated content is viewed in marketing, education, and business. This isn't just about technology, it's about human psychology and the stories we tell ourselves about fairness, effort, and ownership.

In this episode, we break down what the research uncovered, why it matters, and what it reveals about our evolving relationship with AI. Whether you’re a teacher, marketer, manager, or just curious about how AI is reshaping the rules of credit and creativity, this conversation offers insight into the silent double standards that shape our views.

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EP17: The Dark Side of GenAI: Unpacking the Misuse of GenAI

Season 1 · Episode 17

Wednesday, July 23, 2025 • Duration 46:29

Generative AI has captured the world's attention for its power to create, accelerate, and enhance—but what happens when these same tools are misused? In this episode of the Professor Insight Podcast, we turn the spotlight to the darker side of GenAI. Drawing on a groundbreaking new paper from DeepMind titled Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data, we explore nearly 200 real-life cases where generative tools were used to deceive, defraud, and manipulate.

From deepfake impersonations and non-consensual imagery to AI-powered phishing scams and fake social media botnets, the study reveals how GenAI is being exploited in ways that are surprisingly low-tech but highly effective. These misuse tactics often require little technical skill and rely on easy-to-access tools, making them more widespread and harder to track. We break down the taxonomy of tactics and the motivations behind them, including disinformation, monetisation, harassment, and even digital resurrection. This episode is a deep dive into how misuse is already reshaping online trust and public perception. We also discuss the broader implications for AI governance, content authenticity, and digital safety.

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EP16 - The State of AI Infrastructure: Insights from Google’s 2025 Report

Season 1 · Episode 16

Wednesday, July 16, 2025 • Duration 28:31

In this episode of the Professor Insight Podcast, we explore what it really takes to build infrastructure capable of supporting generative AI at scale. Based on Google’s 2025 State of AI Infrastructure Report, this conversation cuts through the buzz to focus on the practical realities facing tech and business leaders. From adoption trends to infrastructure strategy, we look at how organizations are navigating the shift from experimentation to production.

With 98 percent of companies already working with generative AI, the urgency to get infrastructure right has never been greater. We unpack the report’s key findings, including the challenges around data governance, the growing importance of cost-efficiency, and the role of secure, scalable platforms. Hybrid cloud and edge computing are gaining momentum, and a robust AI foundation is now seen as essential for future competitiveness.

This episode covers the strategic decisions shaping enterprise AI—from managing costs and scaling models to deploying across distributed systems. We also discuss the infrastructure features most valued by leaders today, including flexibility, security, and performance. If your organization is planning for long-term AI integration, this episode highlights the groundwork needed to get there.

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EP15 - The Future of Search: How Generative AI May Rewrite Search Marketing

Season 1 · Episode 15

Wednesday, July 9, 2025 • Duration 22:18

In this episode of the Professor Insight Podcast, we take a closer look at how generative AI is fundamentally changing the way we search for information, products, and services online. With ChatGPT rolling out new shopping features and AI search tools gaining traction, it's clear we're entering a new era of digital discovery. But what does this shift mean for the businesses, marketers, and platforms that rely on traditional search behavior to connect with customers?

We draw from Algolia’s report on How Generative AI Affects Search: A Full Stack Story, the Future of Professionals Report to explore how AI is disrupting search engine marketing, SEO strategy, and consumer habits. From voice-driven search to conversational queries and AI Overviews, this episode breaks down what’s changing, where the search volume is going, and how brands can stay relevant in a fragmented, AI-first ecosystem.

Generative AI is not only changing how people find information but also how businesses think about content strategy, advertising investments, and customer engagement. Understanding these shifts is crucial as traditional search models evolve and new opportunities emerge across both established and emerging platforms. This episode offers context and insights into how the future of search is likely to unfold.

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EP14 - Rewriting Legal Workflows with AI: A Guide from Microsoft and Thomson Reuters

Season 1 · Episode 14

Wednesday, July 2, 2025 • Duration 23:53

In this episode of the Professor Insight Podcast, we dive into the rapidly evolving intersection of artificial intelligence and the legal profession. Drawing from two powerful resources — Prompt Engineering for Lawyers, a joint publication by Microsoft and the Singapore Academy of Law, and the 2024 Future of Professionals Report by Thomson Reuters — we explore how AI is not just automating tasks but redefining the way legal professionals work, think, and serve their clients.

We break down how AI is being used right now in law firms and legal departments, from contract review and research to drafting and client communication. More importantly, we focus on one emerging superpower every legal professional should pay attention to: prompt engineering. We unpack how lawyers can write better AI prompts to improve outcomes, increase efficiency, and stay compliant with ethical and professional standards. This is practical, applicable knowledge for anyone navigating the shift from traditional practice to AI-powered productivity.

If you work in law, support legal teams, or are simply fascinated by how AI is transforming high-trust professions, this episode is your guide. You’ll walk away with insights into the tools, techniques, and mindset needed to thrive in the AI-enabled future of legal work.

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Professor Insight Podcast - AI, Science and Business – Details, episodes & analysis

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Professor Insight Podcast - AI, Science and Business – Details, episodes & analysis

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