Frequently asked questions
What do you mean when you say The FBPML is a non-profit?
What is the Creative Commons Attribution license?
What is artificial intelligence (AI) ?
What is machine learning (ML) ?
Is machine learning (ML) the same as artificial intelligence (AI) ?
Machine learning is - perhaps - the most important part of artificial intelligence. This is because - in essence - it forms the self-learning and/or decision-making part(s) of all artificial intelligence systems. However, given the vague, fluid and expansive definition of artificial intelligence, machine learning is not necessarily the same of artificial intelligence. However, machine learning is commonly what is used in practice when people refer to artificial intelligence.
Why are ethics important for machine learning?
How can we achieve ethical machine learning (ML) ?
Why is context so important for machine learning (ML) ?
Context is probably one of the most important aspects of ethical and responsible machine learning. This is because, despite it being talked about as an independent phenomena, machine learning is - arguably - an augmenting technology. It augments the process and/or operations it is applied in. This means it is a tool (means), as opposed to an end-product (ends). Given this, the context of any machine learning operation is very important in understanding how best and responsibly this technology can be used and what its particular risks might be.
What is ethical and responsible machine learning (ML) ?
Ethical and responsible machine learning is the design, exploration, development, production, deployment, operationalisation, and governance of machine learning models that are robust, specific, contextually aware, ethical and legal. It is an ethos and practice that does not locate machine learning in the void of Data Science alone, but it's larger societal context and attempts to be sensitive to, and thoughtful of, this.