Artificial Intelligence and Intellectual Property Law
Informacje ogólne
Kod przedmiotu: | 370-PS5-4ERAEC |
Kod Erasmus / ISCED: |
10.004
|
Nazwa przedmiotu: | Artificial Intelligence and Intellectual Property Law |
Jednostka: | Wydział Prawa |
Grupy: |
5L stac.jednolite magisterskie studia prawnicze - przedmioty specjalizacyjne |
Punkty ECTS i inne: |
4.00
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Język prowadzenia: | angielski |
Rodzaj przedmiotu: | specjalizacyjne |
Założenia (opisowo): | (tylko po angielsku) The aim of the course is the provision of knowledge about basic notions of the administrative law; knowledge of forms of public administration activity, methods of its functioning and categorizing of sources of administrative law. |
Tryb prowadzenia przedmiotu: | mieszany: w sali i zdalnie |
Skrócony opis: |
(tylko po angielsku) The course aims to indicate selected issues related to Artificial Intelligence (AI) and intellectual property (IP). AI as a disruptive technology frequently intersects with intellectual property law creating many challenges for policy makers. The course identifies areas where AI overlaps with copyright, data protection, patent law and designs. |
Pełny opis: |
(tylko po angielsku) Profile of studies - general academic Form of study - stationary Course type - optional Field and discipline of science - social sciences and legal sciences Prerequisites - none Number of didactic hours divided into forms of conducting classes – 16 hours of lectures Didactic methods - lecture, consultations, presentation, e-learning ECTS points: 4 Student workload balance - participation in classes 16 hours, preparation for classes and exam 50 hours, participation in consultations related to classes 33 hours, exam 1 hour. Total: 100 hours, corresponding to 4 ECTS credits. Quantitative indicators - student workload related to activities requiring a teacher's direct participation of 50 hours, which corresponds to 2 ECTS credits, and student workload that does not require direct teacher participation 50 hours, which corresponds to 2 ECTS credits. |
Literatura: |
(tylko po angielsku) 1. L. Bently, B. Sherman, Intellectual Property Law, Oxford 2016. 2. C. Colston, K. Middlenton, Modern Intellectual property law, London: Cavendish Publishing Limited 2005. 3. W. Barfield, U. Pagallo (eds.), Research Handbook on the Law of Artificial Intelligence, Edward Elgar Publishing 2018. 4. E. Bonadio, N. Lucchi (eds.), Non-Conventional Copyright. Do New and Atypical Works Deserve Protection?, Edward Elgar Publishing 2018. 5. J. De Bruyne, C. Vanleenhove (eds.), Artificial Intelligence and the Law, Intersentia 2021. 6. WIPO Technology Trends 2019 – Artificial Intelligence, WIPO 2019. 7. case law – indicated by the teacher. 8. legal acts and EPO materials. |
Efekty uczenia się: |
(tylko po angielsku) KNOWLEDGE: K_W03 - has in-depth knowledge of the principles and institutions of criminal, civil, administrative, constitutional law as well as judicial and administrative procedures K_W08 - knows and understands the terminology appropriate to specific disciplines of law SKILLS : K_U01 - is able to correctly interpret and explain the meaning of specific legal norms and the mutual relations between these norms within specific areas of law K_U05 is fluent in the Polish law system, uses the norms of individual areas of law to solve specific problems by themselves; depending on own interests (selected specialization subjects) has extended skills to solve complicated practical problems in specific fields of law COMPETENCES: K_K06 - is able to independently and critically supplement knowledge and skills, extended by the interdisciplinary dimension |
Metody i kryteria oceniania: |
(tylko po angielsku) Attendance; assessment of activity during classes, engagement in conversation; assessment of prepared essays or presentations, assessment of activity during e-learning classes. Written (essay) or oral exam. Grade scale from 2 to 5 Depending on stage of development of the pandemic, exam may be conducted in remote form. |
Zajęcia w cyklu "Rok akademicki 2022/23" (zakończony)
Okres: | 2022-10-01 - 2023-06-30 |
Przejdź do planu
PN KON
WT ŚR KON
CZ PT |
Typ zajęć: |
Konwersatorium, 16 godzin
|
|
Koordynatorzy: | Kamila Bezubik, Magdalena Knapp | |
Prowadzący grup: | Magdalena Knapp | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: | Zaliczenie na ocenę | |
Skrócony opis: |
(tylko po angielsku) The course aims to indicate selected issues related to Artificial Intelligence (AI) and intellectual property (IP). AI as a disruptive technology frequently intersects with intellectual property law creating many challenges for policy makers. The course identifies areas where AI overlaps with copyright, data protection, patent law and designs. |
|
Pełny opis: |
(tylko po angielsku) Profile of studies - general academic Form of study - stationary Course type - optional Field and discipline of science - social sciences and legal sciences Prerequisites - none Number of didactic hours divided into forms of conducting classes – 16 hours of lectures Didactic methods - lecture, consultations, presentation, e-learning ECTS points: 4 Student workload balance - participation in classes 16 hours, preparation for classes and exam 50 hours, participation in consultations related to classes 33 hours, exam 1 hour. Total: 100 hours, corresponding to 4 ECTS credits. Quantitative indicators - student workload related to activities requiring a teacher's direct participation of 50 hours, which corresponds to 2 ECTS credits, and student workload that does not require direct teacher participation 50 hours, which corresponds to 2 ECTS credits. |
|
Literatura: |
(tylko po angielsku) 1. L. Bently, B. Sherman, Intellectual Property Law, Oxford 2012. 2. C. Colston, K. Middlenton, Modern Intellectual property law, London: Cavendish Publishing Limited 2005. 3. W. Barfield, U. Pagallo (eds.), Research Handbook on the Law of Artificial Intelligence, Edward Elgar Publishing 2018. 4. E. Bonadio, N. Lucchi (eds.), Non-Conventional Copyright. Do New and Atypical Works Deserve Protection?, Edward Elgar Publishing 2018. 5. J. De Bruyne, C. Vanleenhove (eds.), Artificial Intelligence and the Law, Intersentia 2021. 6. WIPO Technology Trends 2019 – Artificial Intelligence, WIPO 2019. 7. case law – indicated by the teacher. 8. legal acts and EPO materials. |
Właścicielem praw autorskich jest Uniwersytet w Białymstoku.