Trustworthy AI in practice

bg-new

Lecturer

Juraj Podroužek, juraj.podrouzek@kinit.sk

Matúš Mesarčík, matus.mesarcik@kinit.sk

Content and organization

Trustworthy and ethical AI is currently one of the most discussed topics in relation to responsible development and use of AI systems. The ethical aspect of AI is even emphasized on the level of the European Union (EU) due to publication of key documents like Ethics Guidelines for trustworthy AI (EGTAI), Assessment List for Trustworthy AI (ALTAI) or proposal for regulation of artificial intelligence – Artificial Intelligence Act (AIA). In recent years the debate about trustworthy AI has shifted from postulating the set of common ethical principles to the question how to translate these principles into practice. The abundance of various AI ethics tools and methods can be deemed as an answer to this question. However, such practical frameworks and assessments also raise some concerns about their appropriateness, comprehensibility or coherence with proposed regulations. In this short course we will briefly introduce the concepts of trustworthy AI and current legal framework on AI, namely proposed EU Artificial Intelligence Act. We will show why especially EGTAI and ALTAI can be used as a core of ethics-based assessment processes for achieving trustworthy AI. On the other hand, we will also highlight the areas where ALTAI falls short and needs to be supplemented by additional tools and frameworks. Furthermore, we will emphasize the most notable convergences within existing or proposed EU laws in terms of conducting ethics-based AI assessments. After completing the course, participants will have a general understanding of how the ethics-based assessment process based on ALTAI works and how it fits into the existing and future legal frameworks.

Level

Postgraduate

Course Duration

5 hours

Course Type

Short Course

Participation terms

REGISTRATION: Free of charge. Both AIDA and non-AIDA students are encouraged to participate in this short course. If you are an AIDA Student* already, please: Step (a): Register in the course, please send a registration email to matus.mesarcik@kinit.sk with title "AIDA Course Registration". AND Step (b): Enroll in the same course in the AIDA system using the button below, so that this course enters your AIDA Certificate of Course Attendance. If you are not an AIDA Student, do only step (a). *AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)

Lecture Plan

3.03.2023 from 13:00 to 15:30 CET (2.5 hours) 17.03.2023 from 13:00 to 15:30 CET (2.5 hours)

Schedule

3.03.2023 and 17.03.2023

Language

English

Modality (online/in person):

online

Notes

At the end of course, non-AIDA and AIDA students attending the lectures via Google Meet will receive a certificate of their attendance.

Host Institution
Kempelen Institute of Intelligent Technologies

Other short courses

01. 03. 2024 Go

Computer Vision

24. 11. 2023 Go

Human Rights Toolbox

21. 02. 2023 Go

Computer Vision

11. 05. 2022 Go

Geometric learning

05. 04. 2022 Go

Computer Graphics

04. 04. 2022 Go

Bayesian Learning

02. 04. 2022 Go

Computer Graphics

31. 03. 2022 Go

Web of Data

28. 03. 2022 Go

Machine Learning

27. 03. 2022 Go

Machine Learning

02. 03. 2022 Go

Player Modeling

28. 02. 2022 Go

Player Modeling

21. 02. 2022 Go

Affective Computing

21. 02. 2022 Go

Machine Listening

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Self-Driving Cars

21. 02. 2022 Go

Deep Learning

21. 02. 2022 Go

Deep Learning 2

09. 07. 2021 Go

Self-Driving Cars

09. 07. 2021 Go

Computer Vision

09. 07. 2021 Go

Deep Learning

17. 06. 2021 Go

Deep Learning School

17. 06. 2021 Go

Memory Network

02. 06. 2021 Go

Machine Listening

02. 06. 2021 Go

Affective Computing

02. 06. 2021 Go

Deep Learning 2

01. 06. 2021 Go

Computer Vision

Cookie Settings

A AIDA - AI Doctoral Academy may use cookies to remember your login data, collect statistics to optimize the functionality of the site and to perform marketing actions based on your interests.


These cookies are necessary to allow the main functionality of the website and are automatically activated when you use this website.
These cookies allow us to analyze the use of the website, so that we can measure and improve its performance.
Allow you to stay in touch with your social network, share content, send and post comments.

Required Cookies They allow you to personalize the commercial offers that are presented to you, directing them to your interests. They can be own or third party cookies. We warn you that, even if you do not accept these cookies, you will receive commercial offers, but without meeting your preferences.

Functional Cookies They offer a more personalized and complete experience, allow you to save preferences, show you content relevant to your taste and send you the alerts you have requested.

Advertising Cookies Allow you to stay in touch with your social network, share content, send and post comments.