History of Previous Talks in Autumn 2019

FCAI COMMUNITY EVENT

Date: October 21, 2019

FCAI organizes a community event to share what we do and to welcome new researchers from Aalto University, University of Helsinki, and VTT to join the FCAI community. We invite AI researchers as well as researchers from different fields to join the event!

Time: 9 – 11 AM
Venue: T1, CS Building, Konemiehentie 2, AALTO UNIVERSITY

FCAI Privacy-preserving and secure AI

Date: October 14, 2019

Abstract: I will introduce privacy work of FCAI research program in Privacy-preserving and secure AI. Our goal is to develop methods that allow learning from data under strong differential privacy guarantees. These enable setting strict limits on how much an adversary can learn about an individual contributing to a data set from the outcome of a computation using that data set. After a general overview, I will discuss differentially private data anonymisation.

Speaker: Antti Honkela
Affiliation: Associate Professor, Department of Computer Science, University of Helsinki

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

FCAI Agile Probabilistic AI

Date: October 07, 2019

Abstract: I provide an overview of FCAI Agile probabilistic AI research program, which develops interactive and AI-assisted processes for building new AI models with practical probabilistic programming. I also discuss common themes in existing workflow patterns in Bayesian statistics and machine learning, and ideas how to assist a user through the complete workflow so that the user expertise is maximally exploited and made stronger.

Speaker: Aki Vehtari
Affiliation: Associate Professor in computational probabilistic modeling, Aalto University

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University

Engineering and testing of AI systems

Date: September 30, 2019

Abstract: There is no AI without software. To build and deploy AI systems for real use far more is needed than machine learning models. In this talk, I will briefly describe the software engineering challenges in the development of AI systems. Surprisingly, the intersection of AI and SW engineering has only recently started to attract wider interest. I will, in particular, discuss the testing of AI systems, how it differs from classical SW testing, and what kind of new interesting problems arise. I will conclude with an example of our own work of fault injection to datasets for the testing of ML systems.

Bio: Jukka K. Nurminen started as a professor of computer science at the University of Helsinki in spring 2019. He has worked extensively on software research in industry at Nokia Research Center, in academia at Aalto University, and in applied research at VTT. His key research contributions are on energy-efficient software and mobile peer-to-peer and cloud solutions but his experience ranges widely from applied optimization to AI, from network planning tools to mobile apps, and from software project management to tens of patented inventions. He received his MSc degree in 1986 and PhD degree in 2003 from Helsinki University of Technology (now Aalto University). Currently his main interests are on tools and techniques for developing data-intensive software systems including testing of AI solutions, computational moral as well as software development for quantum computers.

Speaker: Jukka K. Nurminen

Affiliation: Professor of Computer Science, University of Helsinki

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

Can AI be responsible?

Date: September 23, 2019

Abstract: The question whether AI can be responsible can be understood in two ways: Either as “Can AI agents be responsible?” or “Can AI research be responsible?”. I will argue that only the latter is possible, because AI agents including robots are not autonomous in the sense required by fitness to be held morally responsible. The argument employs Alfred Mele’s history-sensitive account of autonomy and responsibility to the effect that even if robots were to have all the capacities required of moral agency, their history would deprive them from autonomy in a responsibility-undermining way.

The talk is based on joint work with Pekka Mäkelä, in particular the article: Raul Hakli & Pekka Mäkelä: Moral Responsibility of Robots and Hybrid Agents. The Monist, Volume 102, Issue 2, April 2019, Pages 259–275, https://doi.org/10.1093/monist/onz009

Speaker: Raul Hakli
Affiliations: University Lecturer, Practical Philosophy, University of Helsinki

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University

Introducing AI in Society Program

Date: September 23, 2019

Speaker: Petri Ylikoski
Affiliations: Professor of Sociology, University of Helsinki

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University

Real-world model-based reinforcement learning with deep neural networks

Date: September 16, 2019

Speaker: Harri Valpola
Affiliation: CEO, co-founder at Curious AI

Place of Seminar: Lecture Hall Exactum D122, University of Helsinki

Intelligent Mobile Robots

Date: September 09, 2019

Abstract: Dr. Saarinen is among the pioneers in the field of mobile robotics. Prior to establishing GIM Ltd, 2014 a leading mobile robotics R&D company in Finland, he was 15 years in academia. During this time he researched autonomous navigation with a special focus on lidar-based approaches. He is responsible for over 50 peer-reviewed research articles in scientific publications. His widely cited work includes contributions in 3D mapping and localization. Currently, Dr Saarinen is leading team of 30 highly talented robotics engineers with the aim of becoming the largest supplier of intelligent mobile robot solutions.

Speaker: Jari Saarinen
Affiliation: CEO and Founder of GIM Ltd, CTO and founder of Sensible 4

Place of Seminar: Lecture Hall T6, Konemiehentie 2, Aalto University