Jackie Hunter explains why we need to encourage diversity in AI in a co-ordinated effort across the home, at school, at university and into the workplace.
Discovering and developing new drugs is difficult. Very difficult indeed. The cost of developing a new medicine, when you factor in the costs of all those projects which fail before getting to market, is increasing and is Very Large Indeed so what can be done to get us out of this situation?
Initiated after the first Artificial Intelligence (AI) in Bioscience Symposium in 2016, the special interest group on AI in Biomedicine aims at stimulating debate and encouraging collaboration between experts in life science and AI.
In an age where you could soon be legally (and safely) asleep at the wheel thanks to driverless cars will morality in AI go the same way – is the principle of ethics in AI asleep at the wheel?
These are truly exciting times for artificial intelligence (“AI”) and bioscience. This month, together with The Crick and Turing Institutes and the Wellcome Trust, we co-hosted the first of what we anticipate will be an annual symposium on ‘Artificial Intelligence in Bioscience’.