IEEE 7000™-2021 Ethics by Design
Model Process for Addressing Ethical Concerns During System Design
IEEE Standards Project for Model Process for Addressing Ethical Concerns During System Design outlines an approach for identifying and analyzing potential ethical issues in a system or software program from the onset of the effort. The values-based system design methods addresses ethical considerations at each stage of development to help avoid negative unintended consequences while increasing innovation.
IEEE 7001™-2021
Transparency of Autonomous Systems
IEEE Standards Project for Transparency of Autonomous Systems provides a Standard for developing autonomous technologies that can assess their own actions and help users understand why a technology makes certain decisions in different situations. The project also offers ways to provide transparency and accountability for a system to help guide and improve it, such as incorporating an event data recorder in a self-driving car or accessing data from a device’s sensors.
Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems
IEEE Standards Project for Standard for Fail-Safe Design of Autonomous and Semi-Autonomous Systems establishes a practical, technical baseline of specific methodologies and tools for the development, implementation, and use of effective fail-safe mechanisms in autonomous and semi-autonomous systems.
NIST AI RISK MANAGEMENT FRAMEWORK
NIST is developing a framework to better manage risks to individuals, organizations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is intended for voluntary use and to improve the ability to incorporate trustworthiness considerations into the design, development, use, and evaluation of AI products, services, and systems.
EU Legal Proposals and AI Act.
Trusted AI is participating in providing expertise in developing standards globally. Our Presideint is Chair of IEEE Workgroup on AI Cybersecurity Next Generation Systems..
