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Lecture "Artificial intelligence: the future is now." | ISM

Ieva is a Member of the European Commission’s High-Level Expert Group on Artificial Intelligence, advising EU on AI ethics framework and policy and investment strategy of AI.  Previously, Ieva worked as a research fellow at BI Norwegian Business School (Oslo, Norway) and Fox School of Business (Philadelphia, USA), and was Vice-Dean at the first business university in Lithuania, ISM University of Management and Economics.

Ieva holds a PhD in Strategy from BI Norwegian Business School and has more than 15 years of experience in business research, advisory and academia under her belt across developed and emerging economies.

Lecture Series: The Comparative Psychology of Artificial Intelligence

Cameron Buckner, Department of Philosophy, University of Houston, TX, will present a public lecture on „The Comparative Psychology of Artificial Intelligence”: This presentation will focus on the way anthropomorphism/anthropocentrism interface in the evaluation of deep learning neural networks, especially with the recent turn to using deep learning as models in cognitive neuroscience.

Concerns of anthropomorphism and anthropocentrism should be considered here, however, given that the justifications are generated ad hoc using powerful statistical methods, rather than playing a causal role in the networks’ “decisions”.

Such focus may also cut back against introspective justifications in human psychology, where there is similar evidence that verbal justifications are often ad hoc and do not play a causal role in the decision-making process.

Lecture Series: The Comparative Psychology of Artificial Intelligence

Sein Vortrag mit dem Titel: „The Comparative Psychology of Artificial Intelligence“: This presentation will focus on the way anthropomorphism/anthropocentrism interface in the evaluation of deep learning neural networks, especially with the recent turn to using deep learning as models in cognitive neuroscience.

Concerns of anthropomorphism and anthropocentrism should be considered here, however, given that the justifications are generated ad hoc using powerful statistical methods, rather than playing a causal role in the networks’ “decisions”.

Such focus may also cut back against introspective justifications in human psychology, where there is similar evidence that verbal justifications are often ad hoc and do not play a causal role in the decision-making process.

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