OSTP Takes Steps Toward Equitable AI
The White House's Office of Science and Technology Policy (OSTP) announced on 4 October their blueprints for an "AI Bill of Rights" that seeks to provide guidance for more equitable use of AI. This framework is still in early stages, but it is a major step toward ensuring that AI systems do not infringe upon basic human rights. The blueprint focuses on five pillars:
- Safe and Effective Systems – You should be protected from unsafe or ineffective systems.
- Algorithmic Discrimination Protections – You should not face discrimination by algorithms and systems should be used and designed in an equitable way.
- Data Privacy – You should be protected from abusive data practices via built-in protections and you should have agency over how data about you is used.
- Notice and Explanation – You should know that an automated system is being used and understand how and why it contributes to outcomes that impact you.
- Human Alternatives, Consideration, and Fallback – You should be able to opt out, where appropriate, and have access to a person who can quickly consider and remedy problems you encounter.
Similar frameworks have been drafted by the National Institute of Standards and Technology (NIST), the OECD AI Policy Observatory, the European Union, UNESCO, and others around the world. These guidelines resonate with the World Data System's mission to enhance the capabilities, impact, and sustainability of scientific data by creating trusted communities, strengthening the scientific enterprise throughout the entire lifecycle of data and all related components, and advocating for accessible data and transparent and reproducible science.
Call for Nominations - RDA's Technical Advisory Board 2022
RDA is seeking candidates for the annual TAB election, to be held in December 2022. TAB Terms are for three (3) years. We encourage participation from RDA members at all stages of their careers. Please note that current members of RDA’s Council, Secretariat, Regional Advisory Board and Organizational Advisory Board are not eligible for TAB membership.
Nominations will be accepted until 23:59 UTC on 14 November 2022
Webinar Series - Making Data Discoverable through Publishing Structured Metadata on the Web
The FAIR principles refer frequently to metadata as a key enabler in discoverability but also have a major role in accessibility, interoperability, and reusability. Publishing structured metadata on the web can provide a simple and efficient means to increase the FAIRness of research resources: it exposes metadata contained in web pages through a formal mechanism, allowing systematic collection and processing by web-based crawlers. However, the adoption of structured metadata requires a consistent implementation across data repositories in order to enable better interoperability of metadata, and therefore improve discoverability, accessibility, and reusability of data.
This webinar will present two outputs from the RDA Research Metadata Schemas Working Group: guidelines with nine recommendations and a collection of crosswalks to support the process of publishing structured metadata on the web. Data repositories that try to adopt structured metadata within and across domains would benefit greatly from the guidelines that would help ensure consistent implementation leading to enhanced discoverability and accessibility of data.
International FAIR Convergence Symposium - Leiden, 24-26 October 2022
This years’ edition will concentrate on smaller, high-priority, strategic and working meetings to encourage convergence on and implementation of FAIR. The meetings are being organized as hybrid events, allowing for both in-person and online participation.