14th Colloquium: On AI and cognitive assistance systems

22.01.2020 12:00
by Auris-E. Lipinski
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CHANGED DATE! Saturday, 18.01.2020

Time: 12-18 Uhr

Location: c-base e.V., Rungestraße 20, 10179 Berlin

https://www.c-base.org/cv50f/core/impressum.html

 

Entry: none

Registration: Please send an e-mail to info@phencoco.net to give us the chance for a headcount and according preperation, until the 20th of September 2019.

 

Programm:

An Introduction, 1 Lectures on cognitive assistance systems, based on machine learning technologies and their implementation in traffic, health, knowledge systems and other areas.

We are going to draw on what we have discussed in previous coloquium on AI, what deep learning ist supposed to be, what algorithms are subsumed by this and talk about some of these technologies in more detail.

 

1) Introduction by Auris-E. Lipinski

Title: Cognition, computational assistance and artificial performance improvement

Summary: 1. What are assistance systems? Assistance systems are computer processes which are supposed to ease the handling of certain technologies, not seldomly technologies supporting mobility.

2. How are they used? Depending on the technology in question, assistance systems bring forth varying usability and user experience designs. Depending on these designs, the use of system can be extraordinarily better than before - or hrmfully worse.

3. Why are they being used? machines are better at some things, than humans. Mostly quantitative things, to keep it general. These things or tasks, it is assumed, are better outsourced, so humans can unfold their full potential, while not having to deal with the uninteresting bits and unpleasant work in life. To ensure this goal, however, in practice, someone needs to fill the databases. And those someones are not machines - at least not at first. 

4. What does that have to do with cognition and philosophy and or machine learning? The aims people try to reach with cetain technological developments are not always ethical, invented under fair circumstances or aimed at those. machine learning can be helpful for humans, but has it´s limits and depending on the technology used, has both practical and ethical strengths and weaknesses - whether these can come close to human ... let´s call them inner workings, is highly controversial.

5. When do assistance systems take over? Well, we shall see, won´t we... . The general (as this is an introduction) answer to this question is of course at least two-fold. Firstly, there is the question of autonomy vs. the idea of one entity doing all the work, and one entity making all the creative leading decisions. Secondly, autonomy in the technological sense differs greatly from what is understood as human autonomy. The differences melt together and one of the meanings, the question above can be understood in, is the meaning of computational ideas, instead of humanistic and societal ideas, taking over every understanding - whatever that is supposed to be by now.

 

 

 

2) Lecture by Dr. Stefan Schaffer - DFKI

Title: Cognitive Assistants

Speaker info: Stefan Schaffer is a senior researcher and project manager at the Cognitive Assistants department of the German Research Center for Artificial Intelligence (DFKI). He holds an M.A. in Communication Science and Computer Science and a PhD in Computer Science from the Technical University Berlin. His main research interests include conversational, mobile, and multimodal human-computer interaction, as well as related techniques like multimodal intent detection, dialog management, and multimodal output generation. His works have resulted in several assistant systems for different domains, as mobility, automotive, tax information, customer service, and others. He was involved in several research and industry-funded projects.

 

3) Lecture by Dr. Anna Strasser - Independent Researcher, Berlin

Title: Maybe Humans are not that special?

Speaker info:

Anna Strasser studied philosophy, cognitive science, and computer science (artificial intelligence). After being Assistant professor (C1) at the Center for Cognitive Science at the Albert-Ludwigs-Universität Freiburg and working as a Postdoctoral Researcher & Scientific Coordinator at the Berlin School of Mind and Brain / Institute of Philosophy, Humboldt-Universität zu Berlin, she was a Visiting Fellow of Daniel Dennett at Tufts University, Center for Cognitive Science, USA. Now she is an independent philosopher in Berlin. She considers herself as an empirically informed philosopher with a special interest in social cognition at the intersections of philosophy with developmental psychology, artificial intelligence, and animal cognition.

For more information, check out the team page.

 

 

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