Can we get rid of AI bias? Bias is one of the many imperfections of humanity that causes us to make mistakes and holds us back from growing and innovating. However, bias is not only a human reality, but is also a reality for artificial intelligence as well. AI bias is a well-documented phenomenon that is widespread among machine learning tools from a variety of sectors, and it is notoriously difficult to get rid of.
How do we apply ethics to artificial intelligence? Why do we now need AI ethics? What is AI ethics? The ever-expanding availability of big data and cloud computing, improved computing power, and recent developments in deep learning algorithms have paved the way for machine learning algorithms to transform nearly every industry.
Explainable AI, or XAI, refers to a collection of ways we can analyse machine learning models. It is the opposite of the so-called ‘black box’, a machine learning model whose decisions can’t be understood or explained. Here’s a short video we have made about explainable AI.
Technical Due Diligence on companies with AI products and technologies Are you thinking about making an investment in a startup that allegedly uses AI or machine learning and would like a completely impartial assessment of their actual AI technology or products?
Key data science concepts from A to Z I’ve put together a short selection of some intermediate-level data science concepts which give you a good grounding in the field. A lot of these are based on a series of articles which I wrote for the excellent data science resource deepai.org. I’ve biased the list of data science concepts a bit towards natural language processing, because that’s the area I mainly work in.
What is explainable AI? Explainable AI, or XAI, is a set of methods and techniques that allow us to understand how a machine learning model works and why it makes the decisions it does. Without XAI, a machine learning model might be a “black box”, where even the developers cannot understand it they arrived at a certain decision.
How does Deep Learning work and are we really still in control? Deep Learning models are evolving, as are we Your mobile phone receives an alert. You take it from your pocket and look at the screen. Face recognition unlocks the phone, and you read a message your sister just sent. You laugh and then share it by selecting a group of friends who will also find it amusing. You add an instant voice message to the share and tell the phone to send it.
People often ask us, what kind of consulting do we do at Fast Data Science? If we say NLP, the next question is normally, ‘what is NLP?’, and we need to explain a bit further what NLP stands for and what it means.
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