Four Risks and Challenges of AI Democratisation for Businesses
Bill Gates wrote, “The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet and the mobile phone.”
Although artificial intelligence (AI) technologies have been around for quite some time, it is only recently (with ChatGPT) that they have gained wide accessibility. This is because, up until now, we have not been able to interact with AI in a conversational manner and witness human-like responses. AI is not some benevolent, abstract cloud of computer power. It is rooted in the real world and has real-world implications. Let’s look at some of the potential risks and challenges organisations could experience as they increasingly build, use or rely on AI technologies.
1. Data honesty and purity
One of the biggest challenges with AI is that organisational leaders have little or no understanding of the data that sits behind it, how AI is trained or how it behaves in certain situations. This is where the danger lurks – the trust, uncertainty and the inability to validate AI-generated responses.
