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Generative AI

A guide to embracing responsible AI in your business

September 22, 2023

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Generative AI is one of the biggest breakthroughs in the tech world in this decade. When OpenAI launched ChatGPT, there was unprecedented interest amongst the public and in business to discover its capacity.

Its potential to transform business through the automation of routine tasks is unprecedented. From streamlining customer services through chatbots to the creation of content and human-centric security privacy programmes, there are plenty of opportunities to use this emerging technology for your commercial benefit.


The Challenge

Criticism of generative AI takes two forms: risk and regulation. While AI can, for example, reduce human error by automating routine tasks, there are risks associated with your business. For example, Chatbots may not produce appropriate responses to customer requests, which can create animosity between businesses and customers.

The second is regulation and whose responsibility it is to regulate AI and what areas they should and can regulate. The debate has dogged the US Congress over determining the ethics of AI to prevent its misuse, for example.

AI can also be used to spread misinformation as its disconnection from the internet means that it could hold outdated information. If Generative AI is used to create the underlying code for internal websites, one coding error can bring an entire system down.


So, how can your business adopt and use AI responsibly?

Read on to find out…


1. Create a compliance framework

Compliance frameworks are essential to mitigate against potential risks in the design stage of your plan to implement Generative AI in your business. For example, if you’re planning to use Chatbots, you need to create a constitution of proper behaviours. As Generative AI is a product of Natural Language Processing (NLP), using this model will help moderate AI behaviours.

By creating a constitution, if a chatbot were to generate a response that didn’t meet your necessary requirements, the response would be stalled until a verified user made changes. This is particularly useful if you are utilising an out-of-office chatbot for bookings or queries.


2. Human oversight is key

Generative AI is based on human behaviours and Natural Language Processing (NLP) which means oversight is incredibly impactful in preventing bias. One of the key issues has been that predictive algorithms can be used to accentuate biases. With more than 70% of the AI sector being male, the technology itself is susceptible to diversity biases.

When used to staff coaches, for example, these biases could deprioritise CVs from backgrounds that could greatly enrich your pool of talent. Digitisation in the activities sector has been a huge area for growth, offering lots of opportunities for greater productivity and operational streamlining. Using AI intelligently is key to making intelligent decisions.


3. Ensuring the quality of your data

Data trains your AI, which means if there are errors or unstructured or siloed data, you’ll not produce the efficiency and efficacy you need. AI can help you derive insights from your data, what areas to invest in and where you need support.

But without your input, for example, in looking at areas that might skew data or create inherent bias, you won’t receive the best AI-led decision-making outcomes.



For many, Generative AI is an opportunity for greater growth through automation, but for every type of enterprise, ensuring human-centric development is helpful if you want to make the opportunity work for your business. To be ready for emerging technologies, it’s important to stay ahead of the curve and find solutions that can make your business run more effectively.

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