AI and Society: Legal, Ethical and Societal Aspects of AI
AI och samhälle: juridiska, etiska och samhällsrelaterade aspekter av AI

EDA070F, 3 högskolepoäng

Gäller från och med: Autumn 2020
Beslutad av: Professor Thomas Johansson
Datum för fastställande: 2020-12-10

Allmänna uppgifter

Avdelning: Computer Science (LTH)
Kurstyp: Ren forskarutbildningskurs
Undervisningsspråk: English

Syfte

The course aims to give insight into the following three main topics relevant to researchers in technical areas, in particular AI: Responsible Design of Intelligent Systems: understand Responsible AI as part of complex socio-technical systems, Ethical Machines and Human-Agent Interaction.

Mål

Kunskap och förståelse

För godkänd kurs skall doktoranden

• - know the terms, concepts and expressions used in the presented material,
• - be able to understand and explain the presented concepts,
• - be able to use the presented concepts to analyse a given problem with them

Färdighet och förmåga

För godkänd kurs skall doktoranden

• - be able to reason about given questions with the tools presented in the course, at least to a certain level of complexity
• - decide upon the applicability of a certain tool in a given context outside the scope of the course
• - transfer the learned concepts and tools to problems outside the scope of the course where applicable

Värderingsförmåga och förhållningssätt

För godkänd kurs skall doktoranden - be able to judge a (research related) question with the concepts and analytic / argumentative tools discussed in the context of the course

Kursinnehåll

The content of the course include: ethics in practice – ethical issues in different applications, ethics by design – computational reasoning models for ethical deliberation, explainable AI – mathematical principles and computational approaches, and analysis and modelling of interaction constraints and norms.

Kurslitteratur

Announced prior to course start / through the course home page

Kursens undervisningsformer

Undervisningsformer: Föreläsningar, övrigt. The course is given in a two-day block format with varying session formats (lectures, discussion groups,...)

Kursens examination

Examinationsform: Inlämningsuppgifter
Betygsskala: Underkänd, godkänd
Examinator:

Antagningsuppgifter

Förutsatta förkunskaper: Specific assumed prior knowledge is communicated through the course website, which is available well in advance. Generally the course requires at least some background in Computer Science, Mathematics, Engineering Physics, Electrical Engineering or a closely related topic.

Övrig information

Contact the course responsible person / Department representative for information about course instances. The course is given as part of the WASP graduate school and has specific admission rules.

Kurstillfällesinformation

Kontaktinformation och övrigt

Kursansvarig: Elin A. Topp <elin_a.topp@cs.lth.se>
Hemsida: https://wasp-sweden.org/graduate-school/ai-graduate-school-courses/