-------- Forwarded Message -------- Subject: [AISWorld] [Call for Papers] Trustworthiness: Is IT the problem or the solution? Date: Fri, 14 Feb 2020 07:01:27 -0800 (PST) From: Cutter Consortium cgenerali@cutter.com Reply-To: Cutter Consortium cgenerali@cutter.com To: AIS World aisworld@lists.aisnet.org
Call for Papers!
Image: To see the original, click here: https://experts.cutter.com/acton/ct/19169/s-0cab-2002/Bct/l-5ec1/l-5ec1:2d0/... Target URL: https://www.cutter.com/call-papers#trust Our ability to rely on information that is truthful – and on its sources as being honest and correct – is being called into question more than ever.
How can our trust be restored? Share your insight for publication in Cutter Business Technology Journal
https://www.cutter.com/call-papers
.
Our ability to rely on information as being truthful – and on its sources as being honest and correct – has been called into question, once again, by a combination of social and technology developments. It is easy to say "people are entitled to their own opinions, but not to their own facts" – but what exactly are the facts in the age of Photoshop and unexplainable neural networks?
The word "trustworthiness" is now appearing with greater frequency in the IT and business world, as well as in society at large. Some of the reasons are:
The ability to create "deep fakes" used to propagate false accusations or conspiracy theories
The meddling in our often antiquated voting systems
The fragmentation of mass media into a large number of communication channels that don't even pretend to be objective sources of news
The "echo chamber" effect of social media platforms
The bias that may be introduced in decision algorithms by training datasets that do not equitably represent all demographic segments
The ability to spoof the origin of an e-mail or a phone call
The propagation of security weaknesses as developers include in their software some open-source components of obscure origin that have not been fully analyzed for vulnerabilities.
As these examples show, information technology itself is often, if not the actual culprit, then at least a facilitator. For example, deep fakes are directly enabled by sophisticated image manipulation algorithms; neural networks reach decisions that can be almost impossible to explain or verify; and robotic process automation is at the heart of robocalls, spamming and e-mail phishing.
But can we imagine that IT "atones for its sins," so to speak, by providing the solutions to those same issues? There are certainly some glimpses of hope in that direction. For example, members of the Object Management Group are currently working on developing standards and there are a growing number of organizations and countries where committees have been formed to study AI ethics, elaborate guidelines and recommend best practices.
In this issue of Cutter Business Technology Journal with Guest Editor Claude Baudoin
http://www.cutter.com/experts/claude-baudoin
we are soliciting – from end users, IT suppliers, academia and government actors – articles that address these challenges and describe potential solutions. We're also encouraging authors to focus on the positive: what innovations or greater adoption of existing technologies can help restore the trust in information and the decisions made from it? And what is needed – in the technical, socially, and legislative or regulatory areas – to make these solutions work?
Article ideas may include (but are not limited to) the following:
How can I trust that software does not contain security vulnerabilities or malware – especially software that controls medical equipment, power supplies, defense systems, airplanes, cars, and other critical assets?
How can we trace the origin of information (including text, images and videos) to their source, while at the same time enabling whistleblowers and dissidents in authoritarian countries to report information without fear of retribution?
What are the newest development in voting systems to ensure free and fair elections?
How is it possible to balance the demand for "explainability" of a deep learning algorithm with the intellectual property rights of its inventors?
What are the respective responsibilities of the various actors (users and suppliers of information and systems, regulators and legislators, etc.)?
How much assurance is enough?
Abstract submissions due February 28, 2020. Please send article ideas (short paragraph outlining major discussion points) to Claude Baudoin and Christine Generali (cbaudoin@gmail.com and cgenerali@cutter.com).
Accepted articles due April 3, 2020 . Final article length is typically 2,000-3,500 words plus graphics. More editorial guidelines
https://www.cutter.com/call-papers#Editorial%20Guidelines
.
Learn more or submit a proposal!
https://www.cutter.com/call-papers#trust
Cutter Business Technology Journal
https://www.cutter.com/journals/cutter-business-technology-journal
is published monthly as a forum for thought leaders, academics, business practitioners, and industry experts to present innovative ideas, current research, and solutions to the critical issues facing business technology professionals competing in today's digital economy.
If you have any questions, please contact Christine Generali , Cutter Business Technology Journal
https://www.cutter.com/cutter-it-journal
Group Publisher. Editorial guidelines can be found here
https://www.cutter.com/call-papers#Editorial Guidelines
.
We look forward to the opportunity of working with you!
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Gustaf Neumann