Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...
- wissenschaftliche Literatur zu einem bestimmten Thema zu suchen/finden und diese Literatur korrekt zu zitieren
- in ein Thema einzutauchen, schlüssige Argumente zu entwickeln und diese nach wissenschaftlichen Standards zu strukturieren
- konstruktives Feedback zur Arbeit anderer zu geben
- ein wissenschaftliches Thema in einer gewissen Zeit auf Englisch zu präsentieren
Aktuelle Themen in Organisation und Strategischem Management
There has been a hype around artificial intelligence (AI) in recent years across a wide range of industries: AI Systems are used in cyber-physical production systems and “Industry 4.0”, they are applied by e.g. public agencies and reshape criminal justice systems by using risk assessment algorithms and predictive policing. AI Systems are applied also to optimize energy use in critical infrastructure through AI-driven resource allocation, and AI systems are implemented in employment and educational systems through automated evaluation tools and matching algorithms. These are just a few application areas today and – if we trust newspapers and magazines – there are many more to come.
AI systems make machines “intelligent”, including functions like sensing, reasoning, adapting and learning, and they allow for automated decision-making. Economically, they are considered to have the potential to fundamentally disrupt existing business models as they function as prediction machines (see basic readings). The High-level Expert Group on AI of the European commission states on one of their documents, that AI is probably the most transformative technology of our time and it predicts a significant impact of AI on society. As always with disruptive change, we are only beginning to understand the opportunities and challenges of AI and its implications for society.
Therefore, there is a growing desire to assess AI Systems and their impact. How should companies set strategies, how should governments design policies, and how should people plan their lives for a world so different from what we know now? With these new technologies questions are also raised regarding gender, various forms of bias and racial equality. How should such systems be designed to avoid those issues? Are machines prone for such effects or are they impervious?
Moreover, the COVID-19 pandemic has challenged organizations all over the world, with a sudden change to working from home for some, while others were confronted with aggravated working conditions due to the risk of infection. How did organizations adapt and what challenges will occur for the future of work?
In this seminar, we will discuss the state of the art in analysis of opportunities and challenges associated with applications of AI systems in context of Gender Theories and Labor Studies. Some of the papers focus more on fundamental questions addressing key challenges regarding the technology itself and implications on gender and bias as well as ethical considerations, other topics address issues of the impact on the future of work.
Kurzbeschreibung und Start Literatur zu den einzelnen Themen wird bereit gestellt
Individuelle Coachings mit den LVA-Leiter_innen
Präsentation und Diskussion
Pandemiebedingt kann das Format der Abhaltung der LVA abweichen.
Dieses Seminar ist für Studierende der TU konzipiert, die die Vertiefung besuchen und zu Inhalten der Vertiefung ihre Seminararbeit schreiben. Der Besuch des Seminars ist für Austauschstudenten oder als Wahlfach ohne Besuch der übrigen Lehrveranstaltungen der Vertiefung nicht sinnvoll.
Voraussetzung für den Besuch dieses Seminars ist die Absolvierung der LVA Human Resource Management and Leadership und eine weitere Lehrveranstaltug aus der Vertiefung Organisation und Strategic Management (also Organization Theory oder Managing People and Organizations).
