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binary man running with text ethics in the information age

What are the ethical and social implications of contemporary developments in information technology?

The Ethics in the Information Age event series draws together scholars from Indiana University and nationally to explore this question. Our aims are to foster insights through interdisciplinary dialogue, explore potential for scholarly collaboration, and generate student engagement on topics of clear relevance to us all.

 

 Co-Organizers:

 

photo of fabio rojasFabio Rojas; Sociology, College of Arts and Sciences, Bloomington, frojas@indiana.edu






photo of joseph tomainJoseph A. Tomain; Maurer School of Law, Bloomington, jtomain@indiana.edu






photo of angie raymondAngie Raymond; Business Law and Ethics, Kelley School of Business, Bloomington, angraymo@indiana.edu

 

 

 

photo of scott shackelfordScott James Shackelford; Business Law and Ethics, Kelley School of Business, Bloomington, sjshacke@indiana.edu

 

 

Upcoming Events:

 

AI Ethics and the Law

Alexander Duisbergphoto of alexander duisberg

 

Friday October 19th 12:00-1:00 PM

Maurer School of Law, Room 122

 

Dr. Alexander Duisburg, partner at Bird & Bird in Germany, will give a lunch talk titled “AI, Ethics and the Law – a European Perspective” at noon in Room 122 today, as part of his visit to the Ostrom Workshop.

Artificial Intelligence, Robotics and Autonomous” Systems are transforming our lives at an incredible pace. Smart data, machine learning and autonomous cars are just a few of many appliances that will change the way we work and interact.

In Europe, the GDPR has set a new standard on how to deal with personal data, as part of the wider efforts to build the European data economy. At the same time, the ethical debate on science and new technology is shaping up. It is an important element to how Europeans set their agenda, including towards law and regulation on robotics and autonomous systems.

The presentation reflects the current state of debate on these issues. The practical example about autonomous vehicles shows how accountability, control and liability for self-learning systems is fit into the complex regulated environment of road traffic.

Alexander Duisberg is a partner of Bird & Bird in Munich, who specializes in data protection, digital transformation projects, Internet of Things, and complex technology transactions, with a particular focus on automotive, industrial and insurance sectors. He covers a range of matters, including agile development, platforms and the data economy, cloud, cyber security, licensing and technology disputes.

  


 

The Future of Privacy in the Digital Age

Fred Cate Vice President of Research at Indiana University

Paul Schwartz Co-director Berkeley Center for Law and Technology

More details TBD

 


 

Government Surveillance: A Roundtable Discussion about Occurrences, Impacts, and Governance

Margaret Hu Professor of Law, Washington and Lee University

Jessica Eaglin Professor of Law, Indiana University

Angie Raymond Business Law and Ethics, Indiana University

 

Thursday November 8th 1:30- 3:30 PM

Bloomington Campus, Faculty conference room, Maurer Law School

 

Co-hosted by the Maurer School of Law, the Ostrom Workshop, and the Kelley School of Business, Business Law and Ethics

 


 

Don Howardphoto of don howard

Philosophy, University of Notre Dame

 

Ethics of AI

Thursday Feb. 21st 2019

Don Howard is the former director and a Fellow of the University of Notre Dame’s Reilly Center for Science, Technology, and Values, where he now functions as co-director of the center’s ethics of emerging technologies focus area.

More details TBD

 


 

DNA: Law, Technology, and Ethics

 

Friday March 1st 2019 1:00 - 2:00 PM

Maurer School of Law

More details TBD

 


 

Fil Menczer 

photo of fil menczerComputer Science and Informatics, IU Bloomington

 

5 Reasons Why Social Networks Make us Vulnerable to Misinformation

Tuesday Sept. 25th at 12 PM

Bloomington campus, Woodburn Hall, SSRC/200

As social media become major channels for the diffusion of news and information, it becomes critical to understand how the complex interplay between cognitive, social, and algorithmic biases triggered by our reliance on social networks makes us vulnerable to misinformation. This talk overviews ongoing network analytics, modeling, and machine learning efforts to study the viral spread of misinformation and to develop tools for countering the online manipulation of opinions.