To build AI
for humans,
with humans.
Shaping AI's future through collective insight and responsible dialogue.
AI itself cannot address the complex challenges that arise from its transformative influence. It falls upon us – individuals, communities, businesses, and society – to navigate the advancements of this technology with critical thought and responsibility. DAILOGUES embraces that challenge by providing a platform for a diverse range of voices – from business leaders to activists and academics – who will collaboratively seek answers and raise new questions. Through interviews, articles, and expert discussions, it aims to foster an insightful dialogue on the implications of AI.
Explore how AI can be responsibly developed, deployed, and maintained,
with a focus on ethics and compliance.
On the Way to a Non-Discriminatory AI
An Interview with the Beyond AI Collective
Children, Teenagers, and Artificial Intelligence: Fostering Human Agency
Franciska Nowak
Read about promising business ideas and emerging startups that could shape the future of AI.
Multilingual Language Models for Customer Support
Malte Ostendorff
When Machine Learning Meets Business Processes
Gabriel Marques Tavares
Learn how AI is tackling sustainability challenges while also facing scrutiny for its increasing energy demands.
The AI Butterfly Effect: Balancing Sustainability and Risk
René Bohnsack, Mickie de Wet, Jonatan Pinkse
Subvert conventional views of AI by exploring diverse perspectives.
On the History of AI:
The Leibniz Puzzle
Gabriele Gramelsberger
What Would an Intimate Relationship with an AI Look Like?
An Interview with Jessica Szczuka
Get to know the innovators shaping AI across Europe and beyond. Learn what drives their pursuit of AI.
Professor at Technical University of Darmstadt,
Leader of the Ubiquitous Knowledge Processing Lab (UKP)
Software engineer and AI researcher,
Google
AI Strategy Expert, Non-Executive Director at Airbus, Supervisory Board Member of ZF Group
Professor at Johannes Kepler University Linz,
Founder of NXAI
To build AI for humans,
with humans.
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