Category: AI
The Unsolvable Problem of AI Safety
“Given that AI is not explainable, it is in turn necessarily unpredictable –– how can you predict the actions of something you don’t (and can’t) understand? As is already the case with black box AI, the term used to describe AI models that arrive at conclusions or decisions without providing any explanations as to how they were reached, we will be in the dark as to how AI achieved its aims and what it might do to achieve future ones.”
The EU AI Act: What you Need to Know
“The EU AI Act seeks to set a definitive definition of AI that is also broad enough to cover the diversity of AI’s current use-points and any potential future developments. As such, drawing from the OECD’s definition, the act describes an AI system as: “a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments.””
The Ethical Minefield of Artificial Intelligence
“Put simply, how to implement artificial intelligence in an ethical manner currently poses more questions than answers, with disagreements over the necessary direction of travel growing increasingly heated. How to handle data privacy, discrimination, deepfake technology, job losses and the environmental impact are all problems in need of solutions.”
AI: The Changing Face of Project Management
“Key skills of project management such as scheduling, budgeting and monitoring of progress are more easily adopted by technology than positions that rely on creative thinking or interpersonal skills. As such, project managers will have to adapt.”
