AI Tips

• Do Know the Product used: Understand how data from generative AI is collected and used. Be aware that the datasets used may include copyrighted material, which could impact the organisation.   

• Don’t Copy and Paste Blindly: While generative AI can produce impressive outputs, treat them as suggestions rather than absolute truths. Verify the output, as it might be biased, outdated, or incorrect. Remember that large language models are trained on large text and can still make mistakes.   

• Don’t Assume Authority: Generative AI is not an infallible expert. It’s like an actor in improvisational theatre – it can produce creative content, but it’s not always accurate. Encourage critical thinking when interpreting AI-generated output.   

• Don’t Ignore Ethical Considerations: Be mindful of potential biases in AI-generated content. Ensure fairness, transparency, and inclusivity. Avoid perpetuating harmful stereotypes or misinformation.   

• Don’t Sacrifice Privacy and Security: Protect sensitive data don’t share sensitive business information with public programs. Understand where AI-generated content might inadvertently leak proprietary information or customer data. Prioritise privacy and compliance.   

• Don’t Assume AI is a Silver Bullet: AI is not a magical solution that can solve all problems. It's essential to understand the limitations and potential risks of AI and use it in combination with other tools and techniques. Consider using a combination of AI and human expertise, as well as other data analytics tools and methodologies.   

• Don’t use AI-generated content without disclosure: Disclosing when AI has been used to generate any content is crucial in maintaining transparency and is especially important for client-facing employees. Because of the liabilities that could come with inaccurate or inappropriate AI-generated content, your clients should know upfront that material they are receiving or using—in an ad campaign, for example—was partly generated by AI.