Our latest edition of TechKnow focuses on the ethical dilemmas and dangers posed by our current use of AI and the steps we can take to mitigate them.
Equality, Diversity and Inclusion (EDI) advisor Kit Ahweyevu spoke to us about the ways in which we can safeguard inclusion, belonging, and equality in AI.
The two challenges are, of course, intertwined. There is mounting evidence of poor workplace tech leading to bad mental health, which in turn costs businesses worldwide $1 trillion each year in lost productivity, according to World Health Organisation (WHO) statistics.
Catch up on Head of Consulting Katie Gibbs' Big Data London 2020 keynote, breaking down a year of algorithmic controversies and offering tips on how to improve the ethics of machine learning projects.
Working closely with investment communities in both the US and Europe has given me some really interesting insights into the role intelligent automation (IA) – the adoption of multiple advanced technologies such as robotics and machine learning - can play in achieving best-in-class returns.
As we welcome a new year, energised with the expectation of vaccines eradicating the threat of Covid-19 globally, it is worth looking back at the year and exploring how industries were affected by it and just how differently they responded.