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.
Yi Zeng, Professor at the Institute of Automation, Chinese Academy of Sciences, presented his research at the latest IEAI Speaker’s Series Event, which took place on April 29, 2021. Professor Zeng discussed the importance of defining the short-term, as well as long-term, challenges emerging in the field of AI Ethics research.
GAIEC Releases 2021 Statement on the Importance of Public and Civil Society Participation in AI Governance
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.
Celina Bottino, the Project Director at the Institute for Technology & Society of Rio de Janeiro (ITS Rio), presented her research on AI Governance and Policy In The Global South at the latest IEAI Speaker Series that took place on March 25, 2021.
Enjoy the read of our first Annual Report. 2020 was both - exciting and intense- and we have many reasons to feel proud of what we have accomplished throughout this challenging year.
Algorithmic auditing is a complex research procedure that involves the assessment, mitigation and the assurance of an algorithm’s safety and legality. This process is divided into a governance and technical audit.
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.
Building more trustworthy and ethical AI systems is not only a research question it’s a business, legal and societal imperative
Andrea Martin explored in depth the topic of trustworthy AI and the importance of implementing mechanisms to increase trustworthiness in AI systems being developed in order to increase consumer acceptance.