26 DEBATE


Daniel Fletcher


Darren Bentham The pitfall is the


danger of over-reliance. AI isn’t 100 percent


Gill Nolan


accurate, it will get it wrong sometimes


Heath Groves


Debbie Chinn


James Walkerdine Continued from page 25


We develop AI technologies to help businesses communicate. A lot of things that have been discussed I would agree with, efficiency and replacing mundane and routine jobs.


There’s also scalability. It can analyse large


datasets that a human couldn’t, so you can do things on a massive scale. It may not make the decisions but it can become a key part of the decision-making process.


DC: When we’re talking to businesses they fall into two camps. There are the people that know about AI, and perhaps have embraced it and use it and there’s lots of businesses that haven’t a clue.


In manufacturing it is opening up people’s eyes to perhaps finding a solution for their skills shortages, looking how they can integrate technology to reduce the manpower they need.


When we go out and talk to businesses that are using AI, it’s an education to us. We’re in a position to share best practice and connect people because those who are using it can help advise others.


SB: We’ve been using AI in different forms for quite a while and the speed at which is it’s evolving is extraordinary.


Jobs I can remember doing in the last 20 years can now be done with AI better and a hundred times faster.


It can generate 100 tweets for a business in a minute, which I would hire somebody for a couple of months to do previously. It’s just so exponentially faster and more powerful, and actually better quality. There’s been an extraordinary impact already. And it’s not really started yet.


Louise Bamford


GN: Businesses have two big challenges at the moment: recruitment and marketing. When you bring AI into both of those categories it’s an extremely useful tool.


Digital Boost, who we work closely with, can provide mentors to help people implement AI tools into their everyday business life.


HG: The game has changed, and people need to get their heads up and start finding ways to utilise this to make money. No matter how much negativity people want to throw at it, it is not going away.


You’re going to be on social media, arguing with people who have no understanding of the context of your argument but they will still beat you because they understand how to apply your points into a model and receive an answer to them. We have no idea how that’s going to impact society as a whole.


LB: It’s like the internet, the box is open. But from a creative point of view, I don’t think AI or robots have the creative mind, not yet anyway. From the artistic point of view, I don’t think you can get rid of human creativity.


SW: We have had AI tools, particularly in the creative tech world for years. I think of Photoshop and there are content-aware tools in there.


It’s about trying to think about what AI tools are there to enhance what we do. We’re all very aware of ChatGPT but from a creative perspective there are many visual generating AI tools. This is where it enhances creativity very quickly, that ability to enhance our unique ideas right now and bring them to life.


DC: The message to those developing businesses is that AI shouldn’t be seen as a tool


Prof Yannis Korkontzelos


to replace people but to amplify a process and enhance your customers’ experiences. We have to remove the fear factor that people are going to lose their jobs or lose control.


DF: From a legal perspective the main things that we need to think about when it comes to ChatGPT and platforms like it are data protection and privacy laws.


There might be a wealth of information and data already out there but that’s not to say it has been sourced legitimately. And if you’re then going to use that in your business, do you have permissions and consents?


Are you inadvertently infringing IP by using this data? Or if there’s artistic literary works already out there and you’re essentially taking it and using it yourself, it’s copyright infringement.


I’m seeing a ‘use it first, think about the consequences later’ mindset at the moment, and it should be the other way around. There are also questions around bias and the source of the information. Just because it’s out there doesn’t mean that it’s accurate or unbiased.


YK: A lot of the negativity and reservations are because of the lack of clarity behind AI systems. They are not new and at the heart of every system is a machine learning model. This is a model based on mathematics and statistics that can learn from data.


ChatGPT is a ‘generative language model’, around since the 80s. It computes the most probable next word based on the data it has seen.


The whole system depends on the data and there are all the issues about ethics, about who owns the data and do we have the right to use it.


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