The Trades Union Congress (TUC) has warned about what it calls “huge gaps” in UK employment law over the use of artificial intelligence at work.
The TUC said workers could be “hired and fired by algorithm”, and new legal protections were needed.
Many workplaces already use automated decision making for simple tasks. For example, Uber assigns driving jobs to its drivers automatically, by computer, and Amazon is known to use AI monitoring systems to watch its staff in its warehouses.
What is Artificial Intelligence? Who knows. It’ s an ever-moving target to define what is or isn’t AI. So, I’d like to dive into a science that’s a little more concrete — Computational Intelligence (CI). CI is a three-branched set of theories along with their design and applications. They are more mathematically rigorous and can separate you from the pack by adding to your Data Science toolbox. You may be familiar with these branches — — Neural Networks , Evolutionary Computation , and Fuzzy Systems . Diving into CI, we can talk about sophisticated algorithms that solve more complex problem
AI(Artificial Intelligence) has got a bad rep, mostly coming from movies(The Matrix, for instance) or news articles demonizing AI’s reach and scope, stoking fears ranging from privacy invasion to space wars.
AI, and technology itself, is a double-edged sword having the capacity to either overwhelm and overpower us or be a defence mechanism for the looming future threats, depending on how we use it.
Very broadly, AI can be divided into two: narrow AI and general AI.
1. Narrow AI systems handle singular or limited tasks. Also referred to as weak AI sometimes, such systems have applications in email spam filtering, recommendation systems, and autonomous vehicles.
2. On the other hand, general AI or strong AI, refers to a machine’s capability to think and function as a human. It denotes the ability to distinctly recognise other intelligent entities’ needs, emotions, and thoughts.
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