TY - GEN
T1 - The devil's triangle
T2 - 2016 AAAI Spring Symposium
AU - Thieltges, Andree
AU - Schmidt, Florian
AU - Hegelich, Simon
N1 - Publisher Copyright:
Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2016
Y1 - 2016
N2 - Social media is increasingly populated with bots. To protect the authenticity of the user, experience machine learning algorithms are used to detect these bots. Ethical dimensions of these methods have not been thoroughly considered yet. Taking histogram analysis of Twitter users' profile images as example, the paper demonstrates the trade-offs of accuracy, transparency, and robustness. Because there is no general optimum in ethical considerations, these dimensions form a "devil's triangle".
AB - Social media is increasingly populated with bots. To protect the authenticity of the user, experience machine learning algorithms are used to detect these bots. Ethical dimensions of these methods have not been thoroughly considered yet. Taking histogram analysis of Twitter users' profile images as example, the paper demonstrates the trade-offs of accuracy, transparency, and robustness. Because there is no general optimum in ethical considerations, these dimensions form a "devil's triangle".
UR - http://www.scopus.com/inward/record.url?scp=84979992886&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979992886
T3 - AAAI Spring Symposium - Technical Report
SP - 253
EP - 257
BT - 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia
PB - AI Access Foundation
Y2 - 21 March 2016 through 23 March 2016
ER -