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Nigel Willson, global speaker, influencer, and advisor on AI, innovation, and technology shares his thoughts on the all-pervasive nature of AI on Engati CX.
Nigel Willson is a Global Speaker, Influencer, and Advisor on Artificial Intelligence, Innovation, and Technology (Ranked amongst top 20 AI Influencers in the World).
Also an ex European Chief Technology Officer but now an independent voice on Artificial Intelligence and Machine Learning.
He is also the Co-founder of WE and AI whose mission is to increase public awareness and understanding of the risks and rewards of Artificial Intelligence in the UK.
Interview with Nigel Willson
The following section is a summary of our interview with Nigel. But if you’d like to listen to the full interview, there’s a link to the Spotify podcast below.
Almost everyone one, whether they know it or not, is an adopter of AI. Nearly every service, every smart device, or website uses a form of AI. It’s embedded in our culture. Organizations that are looking at projects specifically involving AI are categorized into different areas.
The press has created a lot of hype around AI’s effects on COVID. If we cut through that, we’ll notice that it’s definitely helping in a number of areas.
As a result of the pandemic, there’s an increased risk due to the rapid adoption of technology. There are some risks that organizations definitely overlook and need to be aware of. Organization may look at taking shortcuts to get to their solutions as soon as possible- often without considering the full implication. An example is taking a decision based on AI without realizing the consequences of that decision.
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So what can we do to combat this? A few things we need to be sure of is that that data we have is sufficient enough and that it represents everyone and is inclusive. Quite often, AI solutions produced as a proof of concept are likely to fail because of a lack of sufficient data sets. We need to be transparent about what data we’re collecting and how it will be used. We have to also ensure that there’s an end life of the data collection journey and that it will be deleted. This transparency will give us more sufficient data sets.
Another thing we need to work on regarding data, is making sure the data is diverse and inclusive. And this starts from the organization itself. There is a heavy male bias in AI and data science. We need to work towards getting more people educated and from more diverse backgrounds to account for everyone.
Nigel also finds that certain organizations get overboard with using technology. We shouldn’t rely on automation and AI solutions so heavily. The human aspect of decision-making is critical, so the best solutions are a combination of human expertise and AI. Organizations must be aware of the ethics surrounding AI. They must know what the consequences of each solution is to implement it in a responsible manner.