Project description DEENESFRITPL Humans and AI in the fight against digital hate and disinformation In 2016, the European Commission launched the Code of Conduct together with major IT companies in an effort to respond rapidly to the proliferation of hate speech online. In this fight against online hate speech, the EU-funded AI4Dignity project will investigate the role of artificial intelligence (AI). While AI can be used to detect, decelerate and remove online extreme speech, this hinges on the quality, scope and inclusivity of training data sets. There is also a lack of procedural guidelines and frameworks. As such, the project will develop an innovative solution of collaborative bottom-up coding. It will move beyond keyword-based detection systems. The AI4Dignity solution will use a community-based classification approach that identifies fact checkers as critical human interlocutors in the fight against digital hate and disinformation. Show the project objective Hide the project objective Objective Online hate speech and disinformation have emerged as a major problem for democratic societies worldwide. Governments, companies and civil society groups have responded to this phenomenon by increasingly turning to Artificial Intelligence (AI) as a tool that can detect, decelerate and remove online extreme speech. However, such efforts confront many challenges. One of the key challenges is the quality, scope, and inclusivity of training data sets. The second challenge is the lack of procedural guidelines and frameworks that can bring cultural contextualization to these systems. Lack of cultural contextualization has resulted in false positives, over-application and systemic bias. The ongoing ERC project has identified the need for a global comparative framework in AI-assisted solutions in order to address cultural variation, since there is no catch-all algorithm that can work for different contexts. Following this, the proposed project will address major challenges facing AI assisted extreme speech moderation by developing an innovative solution of collaborative bottom-up coding. The model, “AI4Dignity”, moves beyond keyword-based detection systems by pioneering a community-based classification approach. It identifies fact-checkers as critical human interlocutors who can bring cultural contextualization to AI-assisted speech moderation in a meaningful and feasible manner. AI4Dignity will be a significant step towards setting procedural benchmarks to operationalize “the human in the loop” principle and bring inclusive training datasets for AI systems tackling urgent issues of digital hate and disinformation. Fields of science natural sciencescomputer and information sciencesartificial intelligencesocial sciencespolitical sciencespolitical policiescivil society Keywords Online Hate Speech Online Extreme Speech Artificial Intelligence Collaborative AI Hate Speech Moderation Fact-checking Disinformation Internet Policy Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-2020-POC - Call for proposals for ERC Proof of Concept Grant Call for proposal ERC-2020-PoC See other projects for this call Funding Scheme ERC-POC - Proof of Concept Grant Coordinator LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN Net EU contribution € 150 000,00 Address Geschwister scholl platz 1 80539 Muenchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window EU contribution No data Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN Germany Net EU contribution € 150 000,00 Address Geschwister scholl platz 1 80539 Muenchen See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window EU contribution No data
