By GANDHI, MILAN

From the document: "Focussing on current and emerging issues, this policy briefing paper ('Paper') surveys the ways in which technologies under the umbrella of artificial intelligence ('AI') may interact with democracy and, specifically, extremism, mis/disinformation, and illegal and 'legal but harmful' content online. The Paper considers examples of how AI technologies can be used to mislead and harm citizens and how AI technologies can be used to detect and counter the same or associated harms, exploring risks to democracy and human rights emerging across the spectrum. [...] Given the immense scope and potential impacts of AI on different facets of democracy and human rights, the Paper does not consider every relevant or potential AI use case, nor the long-term horizon. For example, AI-powered kinetic weapons and cyber-attacks are not discussed. Moreover, the Paper is limited in examining questions at the intersection of AI and economics and AI and geopolitics, though both intersections have important implications for democracy in the digital age. Finally, the Paper only briefly discusses how AI and outputs such as deepfakes may exacerbate broader societal concerns relating to political trust and polarisation. Although there is a likelihood that aspects of the Paper will be out-of-date the moment it is published given the speed at which new issues, rules and innovations are emerging, the Paper is intended to empower policymakers, especially those working on mis/disinformation, hate, extremism and terrorism specifically, as well as security, democracy and human rights more broadly. It provides explanations of core concerns related to AI and links them to practical examples and possible public policy solutions."

INSTITUTE FOR STRATEGIC DIALOGUE. 2024.

By MACDONALD, STUART KEITH, 1979-; MATTHEIS, ASHLEY A.; WELLS, DAVID

From the document: "Online terrorist propaganda has been an important policy concern for at least the past decade. [...] [T]he EU Commission launched a call for proposals for projects aimed at supporting small companies in implementing the Regulation. Three projects were funded under this call. This report forms part of one of these projects, which is entitled Tech Against Terrorism Europe. It is important to note at the outset that the focus of this report is the use of AI and machine learning to identify terrorist content online using content-based approaches. Accordingly, the following are outside the scope of the report: [1] The moderation of so-called borderline content, i.e., content that does not violate a platform's Terms of Service but which is nevertheless regarded as potentially harmful. [2] The identification of individuals on a radicalisation trajectory, which is a different - and even more difficult - task; and, [3] The use of behaviour-based cues, such as abnormal posting volume and use of unrelated, trending hashtags, to identify accounts that are sharing terrorist content. This includes approaches based on recidivism. The report begins, in section 2, by explaining the terms AI, machine learning and terrorist content online. Readers that are already familiar with these concepts may wish to move straight to section 3, which discusses the two main content-based approaches to the automated identification of terrorist content online: matching-based approaches and classification-based ones. Having explained the limitations of each approach, section 4 details two ways in which it is necessary to supplement automated tools. Section 5 then addresses issues of resource, before the report concludes with three recommendations."

TECH AGAINST TERRORISM; TECH AGAINST TERRORISM EUROPE.. 2023.. 32p.