Big Policy Canvas Research Roadmap

[...] * Algorithms are designed by humans, and increasingly learn by observing human behaviour through data, therefore they tend to adopt the biases of their developers and of society as a whole. As such, algorithmic decision making can reinforce the prejudice and the bias of the data it is fed with, ultimately compromising the basic human rights such as fair process. Bias is typically not written in the code, but developed through machine learning based on data.
Gianluca Misuraca
While there is a general excitement about what technology can do to help us move forward, and in particular AI optimists, believe that, in support of the right policies and deployed with care, it can bring about better outcomes for everyone, there are also many challenges that shall be addressed both at sectoral and horizontal policy level
Gianluca Misuraca, 25/09/2019 17:54
Shefali Virkar
This is an important ethical consideration that warrants further exploration.
Shefali Virkar, 30/09/2019 13:13