In its annual meeting on the 30th of May, the Global AI Ethics Consortium Members discussed priorities for AI ethics in the coming year. Given the recent emphasis on regulatory mechanisms to mediate AI governance, it is important to consider both the short- and long-term roles for AI ethics in this space.
In line with the Global AI Ethics Consortium's (GAIEC) agenda of promoting the impact and strengthening the role of public and civil society participation, the GAIEC and the IEAI are pleased to announce the launch of the GAIEC Civil Society Repository.
The effort to make sure that technologies are beneficial to society needs to be a globally collaborative one. Academia, with its broad access across different disciplines and cultures, can connect and build international research communities, collaborative networks and global consortia working together on AI ethics-related issues.
GAIEC - Read our 2021 statement on "The Importance of Public and Civil Society Participation in AI Governance" and find out more about the formation of the Civil Society for AI Ethics Directory.
The AI Ethics: Global Perspectives is designed to raise awareness and help institutions work toward more responsible use of AI. Intended for policymakers, students—and anyone interested.
The GAIEC Repository centralizes data, publications and other work from our members and those working on AI ethics, broadly.
In an effort to expand the scope of research on AI and its use in health related crises, and to further promote the Global AI Ethics Consortium, the IEAI will support four new research projects starting this fall with a total of €400,000 in funding.
The weapons deployed in the fight against the covid-19 pandemic also include artificial intelligence. AI might be able to recognize patterns in the spread of the disease, for example. These new possibilities raise ethical issues, however.
The TUM Institute for Ethics in Artificial Intelligence has led the way in the creation of the Global AI Ethics Consortium (GAIEC), joining forces with academic institutions, research centers and distinguished members of academia worldwide in order to foster trust in data and technology, maximize the potential of AI while limiting its harms, help all the involved parties navigate current uncertainty and create ethical frameworks.
