Explainable AI and the Power of Quiet Thinking with Forbes Under 30 Joyjit Chatterjee
"Thinking more before you speak is actually a quality which you can leverage to do things like research, do things like innovation. So how young professionals can actually transition from a society which might treat it as a lack of confidence to actually, as you mentioned, a superpower."
"Let them be their authentic self. There is nothing wrong with being shy. There is nothing wrong with being an introvert. It is actually something which they can leverage as their biggest superpower."
"Believe in yourself, trust your skills, trust your ability to change the world. Every single person in this planet has some unique skills that we are born with, which you can use to change the world."
"Just keep on going and let your work speak for itself and it will reach the right people at the right time. And then that's where you can speak up and share your views with the right people."
"Use AI in the ways which gives you happiness rather than in the ways which makes life monotonous for you. Stay confident, stay grounded and humble and keep on working on life."
Dr. Joyjit Chatterjee, a Forbes Under 30 honoree and lead data scientist at EPAM, shares how being a painfully shy child who was told he would not survive in the real world led him to leverage introversion as a scientific superpower, and explains how Explainable AI can make machine-learning decisions trustworthy enough for industries like wind energy and consumer goods.
What you'll learn
- Being perceived as shy or hesitant in childhood can mask deep cognitive processing habits that are directly applicable to research, innovation, and scientific careers.
- Publishing research papers as an undergraduate is rare but achievable; it opened conference participation and ultimately the PhD pathway that led to Forbes Under 30.
- Explainable AI fills the gap between a black-box prediction and an actionable business decision by attributing model outputs to specific, interpretable inputs.
- Gen AI, large language models like ChatGPT, is not the right tool for every business problem; traditional machine learning and statistical models still outperform it for structured, domain-specific tasks.
- Grounding LLMs in enterprise-specific knowledge graphs reduces hallucination and makes AI suitable for regulated, high-stakes industrial environments.
- AI voice mode can serve as a low-pressure practice environment for socially anxious people to rehearse conversations they find difficult in real life.
- Letting your work accumulate over time rather than rushing to be visible is a viable path to recognition, one well-suited to introverted professionals.
Key moments from the conversation
The teacher who predicted failure
As a child, Joyjit was told by teachers, and classmates overheard by his parents, that his quiet nature meant he would struggle to survive in the real world. The comment affected him deeply for days, but his parents and the memory of a writer grandfather helped him reframe it as something he could work on rather than a fixed judgment.
University as the turning point for introversion
At undergraduate level, Joyjit realised that quiet, deep-focus thinking, the trait he had been mocked for, was exactly the disposition that produced research papers. He published as an undergrad, a rarity, and went on to present at conferences, beginning a public-speaking journey that built gradually on top of his natural strengths.
Explainable AI for wind turbines
His PhD at Hull focused on explainable predictive maintenance for offshore wind turbines, combining causal inference, natural language generation, and knowledge graphs so that operators could understand not just that a gearbox would fail in 24 hours but which sensor readings were driving that prediction, a critical requirement for industrial trust.
Gen AI misconceptions in the boardroom
Joyjit described the widespread senior-leadership assumption that generative AI can solve every business problem as one of the biggest misconceptions in the field. In his experience, most day-to-day operational problems are better served by traditional machine learning or statistical models, with Gen AI useful primarily as a conversational interface layer on top of those predictions.
AI as a tool for introverts and the isolated
He proposed using advanced voice mode in ChatGPT to simulate difficult social interactions. CEOs, investors, strangers, as a deliberate practice environment for introverted professionals. He also highlighted AI companions as a meaningful intervention for elderly people experiencing isolation.
Frequently asked questions
What is Explainable AI and why does it matter?
Explainable AI (XAI) is a set of techniques that make the decisions of machine learning models interpretable, revealing which inputs drove a prediction rather than simply outputting a result. This is critical for regulated industries such as healthcare and energy, where operators must understand why the AI is recommending an action before they act on it.
What is a black-box AI model?
A black-box AI model is one that can make highly accurate predictions but whose internal workings are practically impossible to interpret. Large neural networks like those behind ChatGPT process data as tokens rather than understanding meaning, and their decision paths cannot be easily traced by humans.
How did Dr. Joyjit Chatterjee make Forbes Under 30?
His PhD research in explainable predictive maintenance for wind turbines was published in leading journals and received industry attention. He then applied the same principles to factory waste reduction at Reckitt, while also organising workshops at top AI conferences like ICLR and NeurIPS, which brought together academia, industry, and the public sector.
Can AI help introverted people become more confident socially?
Dr. Chatterjee suggested using ChatGPT's advanced voice mode to simulate conversations with people you find intimidating, a CEO, an investor, a stranger, as a daily 15-minute practice. He argued that speaking regularly, even to an AI, builds the habit of articulating thoughts aloud and reduces hesitation in real-world settings.
Who is Dr. Joyjit Chatterjee?
Dr. Joyjit Chatterjee
Lead Data Scientist & Forbes Under 30 Honoree · EPAM
A Forbes 30 Under 30 Europe lister (Mfg. and Industry), Dr. Joyjit Chatterjee is renowned for developing innovative and trustworthy AI products in safety-critical industries. Currently, he is a Lead Data Scientist at EPAM Systems, UK (American MNC delivering digital product design for reputed Fortune 500 & FTSE 250 companies), leading the development of AI projects and supporting multi-million £ engagements as a consultant. He is an invited Visiting Academic at Loughborough university and University of Hull. He previously worked at Reckitt Benckiser Group (British MNC behind reputed FMCG brands like Dettol, Lysol etc.), driving innovation in factories across North America and Europe by optimising safety, quality, and efficacy, enabling real-time release and facilitating reduction of wastes and costs. Joyjit is a Google Cloud & Oracle Certified GenAI Leader. He also has extensive background in data-driven O&M in the wind industry. Joyjit received the Green Talents Award (German govt.) for outstanding contributions to R&D in wind industry. His work has been covered by Forbes, World Economic Forum, Times of India, IEEE etc. Endorsed as Global Talent by UKRI, he regularly features in high-profile events alongside CIOs and SVPs at Fortune 500 companies. He has also served as reviewer on European Commission projects, been an invited panellist & speaker at leading universities (ETH Zurich, Queen Mary University of London etc.), International Energy Agency's Annual General Meeting etc.
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