
Generative AI and Research Integrity
The article critically reviews the use of generative AI is research.

Towards functional safety management for AI-based critical systems
The webinar provides attendees with a comprehensive understanding of the challenges and opportunities associated with integrating AI into safety-critical systems.

Report on meta-analysis on externalities of acceptability and trustworthiness of ADR
This Adra-e deliverable presents an analysis of the externalities surrounding acceptability and trustworthiness in ADR-supported innovative technologies.

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

Labour-saving technologies and employment levels
This paper exploits natural language processing techniques to detect explicit labour-saving goals in inventive efforts in robotics and assess their relevance for different occupational profiles and the impact on employment levels.

Getting Hired “NYC Bias Audit” Ready
Holistic AI conducted a Bias Audit for Hired to demonstrate compliance ahead of NYC Local Law 144 (“NYC Bias Audit” legislation), which will come into effect on 1st January 2023.