Software resources
Alteryx Designer
Alteryx, Inc. is a software company that provides self-service data analytics software. The company was founded in 1997 and is headquartered in Irvine, California, and has more than 8,000 customers worldwide.
Software resources
Dataiku Data and AI Platform
Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.
Certification
VCIO based description of systems for AI trustworthiness characterisation
Article/Books/eBooks
Certification
Professional development resources for teachers/educators
Labelling initiatives, codes of conduct and other self-regulatory mechanisms for artificial intelligence applications
AI has emerged as a critical area of interest to numerous stakeholders across the world.
Article/Books/eBooks
STRATEGIC RESEARCH & INNOVATION ROADMAP OF TRUSTWORTHY AI
This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.
Article/Books/eBooks
Professional development resources for teachers/educators
Handbook of Trustworthy AI
The main goal of the Handbook of Trustworthy AI (HTAI) is to provide to non-experts, researchers and students, an overview of the problem related to the developing of ethical and trustworthy AI systems.
Video/Webinars
Why we don't have robot butlers yet
Software resources
Automatic Checkerboard Corner Detection and Data Processing Tool
Professional development resources for teachers/educators
Software resources
Brisk Teaching: Free AI Tools for Teachers
A Chrome and Edge extension that assists teachers with curriculum development, feedback generation, and differentiation. Brisk ensures student-safe AI usage and provides real-time visibility into its application in classrooms.
Case studies
White paper
Other
Loremipsum-TEST
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Negat esse eam, inquit, propter se expetendam. Primum Theophrasti, Strato, physicum se voluit; Id mihi magnum videtur.
Case studies
White paper