Webinar: Human-centric AI and its applications

On 21 April at 1 pm CET, Ulysseus Artificial Intelligence Innovation Hub, based at Haaga-Helia University of Applied Sciences, will host the webinar titled “Human-Centric Artificial Intelligence and its applications”. At this webinar Stephan Schögl, Tuomas Varanka, Himanshu Sahni and Heli Kortesalmi will discuss about different topics on the interaction of users and artificial intelligence (AI) such as social machines, human emotion recognition and machine learning for digitalisation in education and research, among others.

Intro

Ulysseus European University is launching a brand new series of webinars on key regional and local challenges.

These are part of the calendar of activities of “COMPASS: Leading Ulysseus to become a European University excellence model through Research and Innovation”, a Horizon 2020 project of Ulysseus and the flagship for its R&I agenda and strategy.

Organised by Ulysseus Innovation Hubs, these webinars will bring together experts from academia, industry and NGO’s, among other organisations to discuss key regional and local challenges.

About “Human-Centric AI and its applications”

This webinar focuses on the interaction of users and artificial intelligence (AI). Human-Centric AI emphases cognitive, emotional and social aspects of human interaction when using AI applications. Existing AI applications are able to detect human emotions derived from images or videos. Although machines, such as AI applications are often considered as unsocial devices, they are, however, able to provide increased social signals and socially oriented behaviour.

Most AI applications represent low-level intelligence and biased data-sets which, among other limitations, might cause discrimination, biased recommendations and misinterpretations. Thus, there is increasing discussion about the ethics of AI and the ethical use of AI in both education and businesses. Despite the challenges, there are also more opportunities to create useful AI applications by using ready-made components and services and open-source solutions. This webinar will deal with the aforementioned topics.

Panel of experts

Stephan Schlögl (MCI | The Entrepreneurial School, Austria)

He holds an MSc in Human-Computer Interaction from University College London and a PhD in Computer Science from Trinity College Dublin. His main research focuses on natural language based human-computer interfaces. In his doctoral research, he investigated Wizard of Oz prototyping as a design and research instrument. This work was continued through a post-doctoral position at Institute Mines Télécom, Télécom ParisTech. There, Dr. Schlögl was involved in the development of an adaptive communication interface to support simple and efficient interaction with elderly users. This task included the investigation of people interacting with voice-based natural language user interfaces as well as the early-stage prototyping of these interfaces. In November 2013, Dr. Schlögl joined the MCI as a faculty member. Next to his research, he now teaches courses in Human-Computer Interaction, Software Engineering, Business Analytics, Artificial Intelligence and Research Methods. He has also co-authored more than 100 international research papers.

Tuomas Varanka (University of Oulu, Finland)

He is currently a Doctoral Researcher with the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. He received his B.S. and M.S. degrees in Computer Science and Engineering from the University of Oulu in 2019 and 2020, respectively. His work has focused on micro-expression recognition, ambiguous emotional data, facial action units and hyperbolic neural networks. His current research interests include machine learning, computer vision, and affective computing.

Himanshu Sahni (Amazon Web Services, Public Sector, EMEA, UK)

He is currently the AI/ML Business Development Lead for EMEA (Europe, Middle East, Africa) Public Sector based in London and responsible for helping customers understand why and how to adopt AI/ML in their portfolios. Himanshu is a proficient IT professional with over 17 years’ experience for blue chip employers. Himanshu started his career working as a Software Engineer working for Accenture on Java and Oracle and also worked as Solutions Architect for Alcatel-Lucent and Vodafone. Over the last 9 years Himanshu has been a Technical Marketing Engineer and Product Manager at Cisco Systems and worked on cloud technologies for the last 5 years. His multifaceted experience enables him to own customer problems to completion. Himanshu is a cat lover and enjoys smooth driving on his electric car.

Heli Kortesalmi (Haaga-Helia University of Applied Sciences, Finland)

She is M.Sc. in Accounting, works as a Senior Lecturer in Accounting in Haaga-Helia’s business programmes and as an accounting specialist in an ESR financed project called Center of Intelligent Automation for SMEs CIPAS. Heli is interested in the automatization of accounting work and is delighted to participate the CIPAS project which provides support in software robotics and automatization for micro- and SME organizations. Heli’s other expertise areas are financial accounting, International Financial Accounting Standards (IFRS), Finnish Accounting Standards and group accounting. Prior to Haaga-Helia, she has worked in accounting related managerial positions in a global enterprise, as well as in private companies.

More details about this webinar

Facilitator: William O’Gorman, Innovation Hub Officer at the Artificial Intelligence Innovation Hub, Haaga-Helia University of Applied Sciences

Day | Thursday 21 April 2022

Time | 13:00-14:30 CET

Host | Ulysseus Artificial Intelligence Innovation Hub, Haaga-Helia University of Applied Sciences

Language | The webinar will be in English

Certificate of attendance | At the end of the webinar a link will be supplied to request your certificate of attendance for this webinar.

Watch this webinar

About COMPASS

COMPASS: Leading Ulysseus to become a European University excellence model through Research and Innovation” is a Horizon 2020 project of Ulysseus and the flagship for its R&I agenda and strategy.

COMPASS has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 101035809. The views and opinions expressed in this communication are the sole responsibility of the authors and do not necessarily reflect the views of the European Commission.