#daiconference

Designing with Artificial Intelligence. How to design when Design (Re)-Designs itself – Artificial Intelligence in Design, Interaction and Design Theory

Rescheduled: late 2020

Mediadesign Hochschule
Franklinstraße 28-29

10587 Berlin

English

Machine-intelligent systems and processes are no longer simply science fiction. Users are now surrounded by an overwhelming amount of digitally intelligent applications. These applications, while running seamlessly in the background of customer-centered products and hence going unnoticed by users, become deeply influential in the design of digital products’ user experiences. This pervasive implementation contrasts starkly with the absence of digitally intelligent applications in the critical academic discussion of applied AI-based design practices.


The conference raises the following questions that result from designing both with and for machine learning algorithms and assist systems: How do designers’ traditional understandings of their practices change when the machine makes fundamental and far-reaching design decisions in the blink of an eye and ceases to be merely a passive design tool? How do design practices change when predictions become a major part of the user experience? What ramifications do these changes have on the notion of creativity? Also, how can designers (re-)design human-machine participation and what kinds or levels of agency do designers retain? Lastly, how does machine learning alter strategic design, corporate identity, and the idea of personal design aesthetics?


To address these questions selected experts from the fields of design, science, art and industry have been invited to present their visions in four separate keynotes. Additionally, the conference is scheduled to provide an inspiring program of discussions, paper talk sessions, case studies, workshops, as well as enough time to engage in dialogue and network with participants.


Designing with Artificial Intelligence 2020 aims to bring together a diverse audience of design practitioners, design managers, design theorists, design leaders, and interdisciplinary thinkers interested in the pressing questions raised. 

German

Maschinell intelligente Systeme und sind schon lange keine Science Fiction mehr. Uns umgibt als Nutzer*innen bereits eine überwältigende Vielzahl von intelligenten Anwendungen, die sich organisch in die User-Experience digitaler Produkte integrieren, Handlungsabläufe beschleunigen, Entwurfsprozesse unterstützen und sogar richtungsweisend beeinflussen. Diesem oftmals für die Nutzer*in unbemerkten Prozess in der Gestaltungspraxis steht eine auffallende Leerstelle in der design-zentrierten akademischen Diskussion von anwendungsorientiertem KI-basiertem Design gegenüber.


Die Konferenz möchte Fragen nachgehen, die sich aus der Gestaltung von, für und mit Machine Learning-Algorithmen und Assistenzsystemen ergeben: Wie erweitern sich Aufgabe, Rolle und Verständnis von Gestalter*innen, wenn die Maschine grundlegende wie weitreichende Gestaltungsentscheidungen übernimmt und nicht nur passives Gestaltungswerkzeug ist; wenn Prognosen über persönliche Vorlieben, Gewohnheiten und Nutzerverhalten wesentlicher Teil der User-Experience werden; wenn der Begriff und die Praxis dessen, was man Kreativität nennt, grundlegend verschoben wird? Welchen Raum schaffen Designer*innen sich und ihren Nutzer*innen für die Möglichkeiten maschineller Partizipation? Und wie verändert maschinelles Lernen strategisches Design, Corporate-Identity und das so genannte Autorendesign?


Um diese Fragen zu beantworten, laden wir Expert*innen aus den Bereichen Design, Science, Art und Industry zu Keynotes ein; darüber hinaus sind Diskussionen, Paper Talks und experimentelle Formate geplant, um kontroverse Themen zu vertiefen.


Die Konferenz richtet sich an Designer*innen, Design-Manager*innen und Design-Theoretiker*innen aus Wissenschaft und Wirtschaft, aber auch an ein breites professionelles Publikum, das diese Problematik interessiert.

 
 

Schedule

9:00
Doors open

Let’s kick the day off with some introductory notes.

Materalize (Main Stage)
10:00
Introduction by organizers Marc Engenhart and Prof. Dr. Sebastian Löwe
10:10
Opening address by MD.H principal Christian Malterer

Our four keynote speakers all elaborate from their particular perspective on the question of new paradigms, rules and principles guiding design with machine learning.

Initialize (Main Stage)
10:20
Julia Laub, Studio onformative

Keynote address

Prof. Sven Travis, The New School Parsons 

Keynote address

 

Gerhard Anger, ART+COM

Keynote address

Andreas Refsgaard, Copenhagen

Keynote address

10:40
11:10
11:30
12:00
Q&A session
Energize
12:30
Lunch break

Two main tracks are available in the afternoon. The first one on the main stage is guided by the question of an overall design system for machine learning as well as the problem of perception in using ml-algorithms. The seconds one in the auditorium reflects on a broader machine learning and design discourse. It also provides use cases for GANs in art and retail.

Contextualize (Main Stage & Auditorium)
2:00
Prof. Fiederike Girst, Anika Meier (Auditorium)

​If technology is the answer, what was the question?

2:30
Prof. Klaus Neuburg, Prof. Sven Quadflieg,
Prof. Dr. Simon Nestler (Auditorium)

Will Artificial Intelligence Make Designers Obsolete?

3:00
Discussions
3:30
Coffee break
Maui Francis & Peter Vachon, IBM (Main Stage)

Intersections: Designing for the Perception of Convenience

4:00
4:30
5:00
Discussions

The day ends with an epilogic attempt to find a common denominator in all the presentations and to formulate new (research) questions.

Finalize (Auditorium)
5:30
Closing remarks by Marc Engenhart and Prof. Dr. Sebastian Löwe
Hypnotize (Auditorium)
6:00
Drinks and networking

For everyone who has enough of the talking and wants to get their hands dirty.

Workshops (registration required)
2:00
(Un)friendly Robots. Performing Human Emotions
Prof. Andreas Muxel and Elias Naphausen
2:00

Pre-registration & fees

PLEASE NOTE! You have to pre-register for a conference ticket. Pre-registration is not the final registration, but a preparatory step. We do not conduct a “first come first serve” registration process, because we want to enable a diverse group of people to participate, ensuring an enriching conference experience for everyone. Therefore, we kindly ask you to provide a bit of information about your background during the pre-registration process. Based on your background and registration category the team of conference organizers assembles the audience. Providing your email address ensures a seamless communication with you that keeps you updated on every step of the way. 

Due to limited space we can only offer a certain quantum of tickets in every category. Our registration categories are:

Professionals and affiliated academics

(Individuals who are working full-time in a company, agency or university)

169 €


Freelancers

(Individuals who are brave enough to run businesses mostly by themselves)

89 €


Students

(Individuals currently enrolled in coursework, student ID required)

19 €

From February 28

PRE-REGISTRATION

 

You pre-register for a conference ticket (which is NOT the final registration, but a preliminary step), get a confirmation email for your pre-registration and wait for final confirmation. 

Until May/June 2020

SELECTION

The team of conference organizers selects individuals based on the category they applied and the background they have. This is due to the intention of the conference organizers to ensure a diverse audience and an enriching conference experience. 

tba

REGISTRATION


If you’re not selected, you will be placed on the waiting list, and also receive an email from us.  

 
 
 

Speakers

Andreas Refsgaard (Copenhagen, DK)

Keynote address

Prof. Sven Travis (The New School Parsons, NY, USA)

Keynote address

Patrick Hebron (Adobe, USA)

Keynote address

Julia Laub (Studio onformative, Berlin, GER)

Keynote address

Gerhard Anger (ART+COM, Berlin, GER)

Keynote address

Prof. Steven Skaggs (University of Louisville, KY, USA)
Meta-design with Machine Learning for Graphic Design

Maui Francis (Design Principal, IBM Watson Apps & Soutions, USA)
Intersections: Designing for the Perception of Convenience

Peter Vachon (Design Principal, IBM Security, USA)
Intersections: Designing for the Perception of Convenience

Prof. Dr. Jan-Henning Raff (HMKW, Berlin, GER)
A Model to Identify the Data Needed for AI-driven Graphic Design

Prof. Frederike Girst (Kunsthochschule, Nürnberg, GER)
»If technology is the answer, what was the question?«

Anika Meier (Independent author, Hamburg, GER)
»If technology is the answer, what was the question?«

Prof. Klaus Neuburg (University of Applied Sciences Hamm-Lippstadt, GER)
Will Artificial Intelligence Make Designers Obsolete?

Prof. Sven Quadflieg (University of Applied Sciences Hamm-Lippstadt, GER)
Will Artificial Intelligence Make Designers Obsolete?

Prof. Dr. Simon Nestler (THI Ingolstadt, GER)
Will Artificial Intelligence Make Designers Obsolete?

Prof. Andreas Muxel (University of Applied Sciences Augsburg, GER)
Workshop
(UN)FRIENDLY ROBOTS. Performing Human Emotions

Elias Naphausen (University of Applied Sciences Augsburg, GER)
Workshop
(UN)FRIENDLY ROBOTS. Performing Human Emotions

Alsino Skowronnek (Data designer and artist, Berlin, GER)
Workshop
Creative Applications of Machine Learning on the Web (for {Absolute} Beginners)

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Founders/Organizers

Marc Engenhart (Engenhart ° Design Studio, THI Ingolstadt, HfG Schwäbisch Gmünd)
Marc is a multidisciplinary designer, musician and artist. In addition to running his own design studio for over ten years, he also teaches, researches, publishes, and consults on the topics of transmedia and interaction design in the fields of speculative design, scenography, future affairs, prototyping as well as traditional communication design such as corporate identity.

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Prof. Dr. Sebastian Löwe (MD.H, Berlin)
Sebastian is professor of design management at the Mediadesign University of Applied Sciences in Berlin, Germany. He teaches, researches, publishes, and consults on the topics of open innovation management, lean UX/design thinking, social media, semiotic, and aesthetic theory as well as machine learning in design processes.

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Partners

#daiconference 2020 is a official partner of the Rise of AI Conference & German AI Week 2020.

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