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Exploitation plan and strategy phase 2
This is deliverable 5.4 of the AI4REALNET project. This document outlines how AI4REALNET’s results will be brought to market, ensuring widespread adoption, long-term sustainability, and maximising the potential for project perpetuation.
Article/Books/eBooks
Don’t ask if AI is good or fair, ask how it shifts power
Opinion piece by Pratyusha Kalluri in Nature
Article/Books/eBooks
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.
Article/Books/eBooks
Cooperating with machines
Since Alan Turing envisioned artificial intelligence, technical progress has often been measured by the ability to defeat humans in zero-sum encounters (e.g., Chess, Poker, or Go).
Article/Books/eBooks
Should we fear the robot revolution? (The correct answer is yes)
Advances in artificial intelligence and robotics may be leading to a new industrial revolution. This paper presents a model with the minimum necessary features to analyze the implications for inequality and output.
Tutorial/How To/Guides
OECD AI Principles overview
The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, they set standards for AI that are practical and flexible enough to stand the test of time.