Commission on Race and Ethnic Disparities

Viscount Stansgate Excerpts

Monday 21st March 2022 Lords Chamber

[Baroness Stedman-Scott (Con)]

I thank my noble friend for her contribution. I agree wholeheartedly with the words that she read from Minister Badenoch. Family life in the UK needs to be strong and resilient, and it needs to ensure that young people grow up knowing that they are supported and cared for. This does not always happen, so I am pleased that our Government have put around £650 million—I think; do not quote me—into supporting families and, more importantly, into the family hubs and the reducing parental conflict programme, which, I hope, based on the evidence thus far, is making a huge difference to the lives of people who struggle to maintain good family relationships.

[Viscount Stansgate (Lab)]

My Lords, may I draw the Minister’s attention to the very end of this report, on the impact of AI and algorithms? Action 72 says that the Government will address

“potential racial bias in algorithmic decision-making.”

The only word I would disagree with is “potential”, because there have been some shocking examples, such as in facial recognition technologies, where the algorithms used and the data that is fed to set them up has been overtly racially biased. May I invite the Minister to tell the House a little more about what the Government intend to do in this area? I think they are going to need expert help. Would the Minister, for example, consider contacting the Council for the Mathematical Sciences, which is an umbrella body comprising a range of different mathematical experience and expertise? In the world in which we live now and the algorithms which in great part determine our lives, the potential for racial bias is enormous, and I invite the Government to take the advice that will be needed to fix that.

[Baroness Stedman-Scott (Con)]

I thank the noble Viscount for that question. I did not catch the name of the council that he referred to, but if he could let me have that afterwards, I will certainly pass it on. The space of decision-making algorithms and AI is fast-moving, and they are increasingly embedded in all our lives. Greater understanding and transparency from those building these systems is crucial to ensure that the public trust the decisions being made. Our first priority is understanding what it means to improve transparency in the use of AI. We want to build the most trusted AI governance system in the world. We also want to ensure diversity of thought and experience in the sector, as this is the best way to avoid in-built bias. To achieve this, up to £24 million of funding is being put towards attracting early career talent into digital and tech roles.