Zrozumieć AI: Za kulisami hype’u – cykl rozmów o sztucznej inteligencji

FDM i Uniwersytet Northeastern prezentują serię webinarów, poświęconych tematyce sztucznej inteligencji.

Każda sesja będzie zawierać wnioski i praktyczne przykłady zastosowań przedstawione przez prelegentów akademickich oraz ekspertów z branży na temat najważniejszych obecnie zagadnień związanych z AI.

W partnerstwie z

Biegłość w AI i moc promptów:
rozwijanie bardziej kompetentnego zespołu

  • Z udziałem Professor Ioannis Votsis i Lee O’Brien, Investec
  • Środa, 15 października 2025
  • 16:00–17:00
  • Wydarzenie online
  • Zarejestruj się

Or opt for our virtual session.


Dziś wszyscy zwracamy się do AI po odpowiedzi, ale czy Ty i Twój zespół potraficie krytycznie oceniać wygenerowane treści?

W trakcie tej sesji dowiesz się, jak rozwijać w swoim zespole zdolności analizy i oceny, aby zapewnić dokładność i wiarygodność generowanych danych.

Fałszywe wiadomości, realne zagrożenia: AI, deepfake’i i walka o prawdę

  • Z udziałem Professor Brian Ball
  • Środa, 22 października 2025
  • 16:00–17:00 plus czas na dyskusję
  • Wydarzenie online
  • Zarejestruj się

Or opt for our virtual session.


Dezinformacja generowana i rozpowszechniana przez AI to coś więcej niż temat nagłówków: stanowi rosnące ryzyko dla firm, rządów i społeczeństwa.

Łącząc wiodące badania z perspektywą praktyków, sesja pokaże, jak organizacje mogą chronić się przed manipulacją, zabezpieczać swoją reputację i przystosować się do nowej ery zagrożeń cyfrowych.

Etyczne podejście do AI: odpowiedzialne zastosowanie sztucznej inteligencji w praktyce

  • Z udziałem Dr. David Freeborn i Gillian Magee, AstraZeneca
  • Środa, 1 października 2025
  • 16:00–17:00
  • Wydarzenie online
  • Zarejestruj się

Or opt for our virtual session.


Zrozumienie zasad korzystania z AI jest kluczowe dla Twojego biznesu. Błędy w tym zakresie mogą mieć poważne konsekwencje prawne, finansowe i wizerunkowe.

Podczas sesji poznasz, jak etycznie stosować AI, uwzględniając kwestie uprzedzeń, równego traktowania, zgodności z przepisami oraz budowania zaufania wśród klientów i zespołu.

Generatywna AI: nowe możliwości tworzenia rozwiązań w biznesie

  • Z udziałem Dr. Alice Helliwell
  • Środa, 8 października 2025
  • 16:00–17:00
  • Wydarzenie online
  • Zarejestruj się

Or opt for our virtual session.


Zastosowanie Generatywnej AI wykracza poza teksty, obrazy czy prace kreatywne. Oparte na niej narzędzia mają dziś praktyczne znaczenie dla różnych działów i zespołów.

Podczas sesji, korzystając z wiedzy naukowej i doświadczeń rynkowych, pokażemy ekscytujące i czasem nieoczekiwane zastosowania AI, które wspierają tworzenie niemal wszystkiego w Twojej firmie.

Organizacje przygotowane na przyszłość stawiają
na ekspertów potrafiących wykorzystywać AI

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Dr. Alice C. Helliwell

Assistant Professor in Philosophy, Northeastern University

Dr. Alice C. Helliwell

Assistant Professor in Philosophy, Northeastern University

Alice Helliwell is an Assistant Professor in Philosophy at Northeastern University, London. Alice’s research is focussed on AI art and computational creativity. She is particularly interested in developing theories of machine creativity, the interaction between art and AI, and the aesthetics of AI images.

Alice holds an MA(Hons) in philosophy and psychology from the University of Edinburgh, and an MA in History and philosophy of art from the University of Kent, having received a Paris Scholarship to study in the University’s Paris School of Arts and Culture. Alice went on to gain her PhD from the University of Kent, receiving a Vice Chancellor’s Scholarship. Alice’s PhD project, titled “Art-ificial: The Philosophy of AI Art” explored AI creativity and the capacity of AI systems to create art. She taught throughout her PhD and joined NU London (then New College of the Humanities) in 2021. Alice was Associate Director, then Interim Director of the Doctoral Research School at NU London from 2023-24. Alice is involved in several active research projects, including collaborative projects on the landscape of AI ethics, AI in the creative industries, and AI arts and the human body. In summer 2025, Alice undertook a Visiting Fellow at the Centre for Philosophy and AI Research (PAIR) at Friedrich-Alexander-Universität. Her project will research “The Praise Gap: AI Responsibility Beyond Accountability”.

Dr. Brian Ball

Professor in Philosophy, Northeastern University

Dr. Brian Ball

Professor in Philosophy, Northeastern University

Brian Ball is Professor of Philosophy at Northeastern University, London. His research concerns the philosophy of AI and cognitive science – broadly construed so as to include mind and language, as well as the theory of knowledge. His computational philosophy project, PolyGraphs, has been supported by the Royal Society and others; and he received a Talent Development Award from the British Academy for the follow-up Human and Network Sciences. He is widely published and in 2016 his ‘Knowledge, Safety, and Questions’ won the Philosophy South international essay prize. A member of Steering Group for the 695th Lord Mayor of London’s Ethical AI Initiative, he has acted as a consultant for the British Computer Society. He is a DISKAH Fellow during 2025-26, working on Digital Research Infrastructure and High Performance Computing to support Arts and Humanities research.

Dr. David Freeborn

Assistant Professor in Philosophy, Northeastern University

Dr. David Freeborn

Assistant Professor in Philosophy, Northeastern University

David Peter Wallis Freeborn is Assistant Professor in Philosophy at Northeastern University, London. He works on the philosophy of AI, social and formal epistemology, philosophy of science, and philosophy of physics. He began his research career as a particle physicist at the University of Oxford, conducting research at CERN, and receiving a PhD from University College London in 2016. He also holds an MSc in the Philosophy of Science from the London School of Economics and attained a second PhD in the Philosophy of Science from the University of California, Irvine in 2023.

He is interested in both scientifically-informed-philosophy and philosophically-informed-science. His research focuses on artificial intelligence, Bayesian formal and social epistemology, the philosophy of physics, computational modelling, and network theory.

Dr. Ioannis Votsis

Professor in Philosophy, Northeastern University

Dr. Ioannis Votsis

Professor in Philosophy, Northeastern University

Ioannis Votsis is Professor in Philosophy at Northeastern University, London. He is a member of the Turing Institute’s Humanities and Data Science Special Interest Group as well as a member of the Advisory Board of the Centre for Philosophy of Natural and Social Science at the London School of Economics. His research interests primarily fall within the philosophy of science and the philosophy of AI. Of late, he is working on projects relating to grounded empiricism, how to model analogical reasoning, a neuro-symbolic approach to automating scientific discovery, the epistemology of machine learning, automated theorem proving, and prompt engineering. In his spare time, he likes to dabble in coding and has developed The Logic Calculator app.

Gillian Magee

Senior Director – Programme Delivery, AstraZeneca

Gillian Magee

Senior Director – Programme Delivery, AstraZeneca

Gillian Magee has a 30-year track record in project, programme and portfolio management, spanning many sectors and functions. She is accountable for governance, quality, and risk management across Finance, HR, Legal, and Compliance systems. She is currently studying for a master’s at Cambridge University in AI Ethics and Society, with a particular interest in the impact on labour markets and governance of risk. Gillian is also a member of the AI and Data Analysis Group for the Association for Project Management.

Lee O’Brien

Senior Data, AI, and Technology Leader, ex-Investec

Lee O’Brien

Senior Data, AI, and Technology Leader, ex-Investec

Lee O’Brien is an AI and data professional with over 15 years’ experience in financial services, including roles as Chief AI Officer and Chief Technology Officer at Investec. He has led transformational change through data and AI strategies, and cloud adoption. Lee has completed postgraduate study in Artificial Intelligence, Behavioural Decision Science, and Data Science. His current research, alongside his AI startup EdgeLayer™, explores graph neural networks on SQL-integrated systems, bridging relational databases, and deep learning.

Past events


26/06/2024 | FDM London Centre

FDM alumni come together for professional development event

11/09/2024 | FDM London Centre

FDM hosts RRC roundtable event for alumni

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