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Artificial Intelligence - legal and ethical aspects

General data

Course ID:	WP-MON-AILEA
Erasmus code / ISCED:	(unknown) / (unknown)
Course title:	Artificial Intelligence - legal and ethical aspects
Name in Polish:	Artificial Intelligence - legal and ethical aspects
Organizational unit:	Faculty of Law and Administration
Course groups:
ECTS credit allocation (and other scores):	4.00 (differs over time) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Subject level:	elementary
Learning outcome code/codes:	enter learning outcome code/codes
Short description:	The course focuses on selected aspects of the development and implementation of artificial intelligence. In particular, the course will mainly examine the legislative process concerning artificial intelligence at EU level (proposal for Artificial Intelligence Act), but examples from other parts of the world will also be discussed where relevant.
Full description:	The course focuses on selected aspects of the development and implementation of artificial intelligence. In particular, the course will mainly examine the legislative process concerning artificial intelligence at EU level (proposal for Artificial Intelligence Act), but examples from other parts of the world will also be discussed where relevant. Indicative topics: Introduction to machine learning and artificial intelligence (A)I From ethics to the legal regulation of AI GDPR and AI EU policy on AI Proposal for Artificial Intelligence Act Transparency and explainability of algorithms Artificial intelligence and discrimination AI and Democracy Oversight model Examples of artificial intelligence applications: - AI and Predictive Policing AI and justice AI and work

Classes in period "Winter semester 2022/23" (past)

Time span:	2022-10-01 - 2023-01-31	Selected timetable range: weekly course term Navigate to timetable MO TU W KON KON TH FR
Type of class:	Conversatorium, 15 hours more information
Coordinators:	Piotr Drobek
Group instructors:	Piotr Drobek
Students list:	(inaccessible to you)
Examination:	Course - graded credit Conversatorium - graded credit
(in Polish) E-Learning:	(in Polish) E-Learning (pełny kurs) z podziałem na grupy
Type of subject:	obligatory
(in Polish) Grupa przedmiotów ogólnouczenianych:	(in Polish) nie dotyczy

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