Daniel-Mietchen
commented
1 year ago I am involved in one session proposal for the Ethics and Social Aspects of Data IG, and my contribution to this session has the following title and abstract:
Title: Making ethics workflows FAIR.
Abstract: Short description: As ethics and data are interacting in ever more ways, the time is ripe for complementing the ethical review of data-related workflows with a FAIRification of ethics workflows and for establishing feedback loops that connect both ends and help improve them together. For instance, ethical oversight of AI could be designed in a way that both humans and machines can fully participate in the process, e.g. a user (human or machine) that interacts with an AI can check whether that AI actually has an ethics certificate that is valid for the ways in which the user intends to interact with the AI, the AI can check whether the user is authorized for the interaction, and if a publication results from these interactions, then the reviewer or reader (again, human or machine) of that publication also has some means to validate that these interactions have taken place on the basis of properly documented authorizations.
I am also considering to submit or contribute to other sessions.
As per https://www.rd-alliance.org/rdas-21st-plenary-call-sessions .