Online Misinformation: Challenges and Future Directions

Misinformation has become a common part of our digital media environments and it is compromising the ability of our societies to form informed opinions. It generates misperceptions, which have affected the decision making processes in many domains, including economy, health, environment, and elections, among others. Misinformation and its generation, propagation, impact, and management is being studied through a variety of lenses (computer science, social science, journalism, psychology, etc.) since it widely affects multiple aspects of society. In this paper we analyse the phenomenon of misinformation from a technological point of view.We study the current socio-technical advancements towards addressing the problem, identify some of the key limitations of current technologies, and propose some ideas to target such limitations. The goal of this position paper is to reflect on the current state of the art and to stimulate discussions on the future design and development of algorithms, methodologies, and applications

Next-Generation Technology and Electoral Democracy: Understanding the Changing Environment

Democracies around the world are facing growing threats to their electoral systems in the digital age. Foreign interference in the form of dis- and misinformation has already influenced the results of democratic elections and altered the course of history. This special report, the result of a research project conducted in partnership with the Konrad-Adenauer-Stiftung (KAS) Canada, examines these cyberthreats from a Canadian and German perspective. Both Canada and Germany share common goals centred around protecting human rights, democracy and the rule of law, and international peace and security. Using case studies from experts in fields such as computer science, law and public policy, the special report offers recommendations to guide policy makers and stakeholders on how to protect elections from next-generation technologies and the threats they pose to democracy

Understanding and avoiding AI failures: A practical guide

As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we create a framework for understanding the risks associated with AI applications. This framework is designed to direct attention to pertinent system properties without requiring unwieldy amounts of accuracy. In addition, we also use AI safety principles to quantify the unique risks of increased intelligence and human-like qualities in AI. Together, these two fields give a more complete picture of the risks of contemporary AI. By focusing on system properties near accidents instead of seeking a root cause of accidents, we identify where attention should be paid to safety for current generation AI systems

Understanding and Avoiding AI Failures: A Practical Guide.

As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we create a framework for understanding the risks associated with AI applications. In addition, we also use AI safety principles to quantify the unique risks of increased intelligence and human-like qualities in AI. Together, these two fields give a more complete picture of the risks of contemporary AI. By focusing on system properties near accidents instead of seeking a root cause of accidents, we identify where attention should be paid to safety for current generation AI systems

Exploring The Use Of Online Social Networking By Employees: Looking At The Potential For Information Leakage

The proliferation of online social networking (OSN) in recent years has caused organizations information security threats due to disclosure of information by their employees on their sites. The accessibility of OSN to anyone, at any time, using any devices, causes confidential and sensitive organizational information to be disclosed to unauthorised individuals, whether accidentally or intentionally. This study aims to explore this current phenomenon by investigating OSN use behaviour among employees that leads to information leakage through the lens of Decomposed Theory of Planned Behavior. It also seeks to investigate the strategies utilized by organizations to control such use and propose a control framework that effectively safeguards organizational information security from this threat