Autonomous Intelligent Systems (AIS)
Systems exhibiting intelligent behavior and operating with autonomy, making decisions without continuous human oversight.
How the laws define this
Standardization frameworks agree that Autonomous Intelligent Systems comprise artificial intelligence applications whose decisions carry a direct and significant ethical impact on human lives. The core divergence lies in whether the frameworks characterize these systems by their operational behavior or by their underlying technological architecture. The IEEE CertifAIEd Ethics Certification Program takes an operational focus, defining these systems by their ability to exhibit intelligent behavior through learning and adaptation while executing decisions or actions without continuous human oversight. Conversely, the IEEE Standard for Algorithmic Bias Considerations: IEEE Std 7003™-2024 takes a structural approach, specifying that these systems encompass symbolic technologies, sub-symbolic technologies, and their hybridization. Furthermore, IEEE Std 7003™-2024 explicitly highlights that these information services influence human society across socioeconomic, political, and cultural spectra, whereas the IEEE CertifAIEd Ethics Certification Program concentrates its assessment on evaluating system behaviors and impacts directly.
Synthesised from the 3 statutory definitions below. Each one is quoted in full, with its source.
What it triggers
- The IEEE 7003-2024 standard sets out processes and methodologies to identify, measure, and mitigate algorithmic bias in Autonomous Intelligent Systems.source
- The IEEE 7003-2024 standard describes a comprehensive framework for defining, measuring, and mitigating algorithmic bias in Autonomous Intelligent Systems.source
Definitions (3)
Autonomous Intelligent Systems (AIS) refers to systems that exhibit intelligent behavior, including learning and adaptation, and operate with a degree of autonomy, making decisions or taking actions without continuous human oversight. The ethical assessment within this program specifically targets the behaviors and impacts of such systems.
Autonomous Intelligent Systems (AIS) encompass artificial intelligence applications that involve symbolic and sub-symbolic technologies and their hybridization. These systems underpin various information services that have a direct and significant impact on human lives, making their ethical development and bias mitigation crucial.
Autonomous Intelligent Systems (AIS) encompass a broad range of AI applications, including symbolic and sub-symbolic technologies and their hybridization. The standard specifically targets AIS because of their increasing influence on human lives across socioeconomic, political, and cultural spectra, and the direct and significant impact their decisions can have.
Questions and answers
What standards apply to Autonomous Intelligent Systems?
The IEEE 7003-2024 standard targets Autonomous Intelligent Systems due to their significant impact on human lives across socioeconomic, political, and cultural spectra.
Why focus on bias in Autonomous Intelligent Systems?
Autonomous Intelligent Systems have a direct and significant impact on human lives, making their ethical development and bias mitigation crucial, as per the IEEE 7003-2024 standard.
What does the CertifAIEd program cover for AIS?
The CertifAIEd Ethics Certification Program targets the behaviors and impacts of Autonomous Intelligent Systems that exhibit intelligent behavior and operate autonomously.