Artificial intelligence is one of the fastest-growing technologies in the world. It offers lots of exciting opportunities for information managers, though it also comes with some challenges and risks. Generative AI is one of the big AI developments making waves right now.

What is Generative AI? 

Generative AI describes a category of capabilities within AI that create original content in a variety of formats including natural language, image, code, and more.​

People typically interact with generative AI that has been built into chat applications.

Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio.​

Chat GPT is one of the examples of a generative AI language model that acts in a conversational way.

Over the recent years a large range of other Generative AI tools became available to our users, including:​ 

  • Microsoft 365 Copilot: Which uses large language models to assist users with generating content within its portfolio of work apps including Word, Excel, PowerPoint, Outlook, and Teams.​ 
  • Google Duet AI: A productivity tool that uses generative AI to help users complete tasks.​ 
  • Zoom IQ: A tool that uses AI to transcribe and translate meetings in real-time.​ 
  • Slack GPT: A tool that uses generative AI to help users write better messages.
  • Chatbots like Bard and HuggingChat.

What are the generative AI Dos and Don’ts for information managers?

Generative AI Dos for information managers

  1. 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 your employees’ work products. Ensure data usage terms align with your organization’s needs.
  2. Do Set Clear Guardrails. Employees will use generative AI whether or not your organization endorses it. Provide guidelines to prevent misuse and protect sensitive information. Guardrails are essential to manage risk.
  3. Do Monitor and Adapt. Continuously improve your generative AI models. Regularly assess their performance, address biases, and adjust as needed. Trust in AI grows when it consistently delivers reliable results.
  4. Do Educate Your users​. Train your users on how to use generative AI effectively. Teach them to interpret results critically and understand the technology’s limitations. Foster a culture of responsible AI use.
  5. Do Collaborate Across Disciplines. Involve legal, compliance, and data privacy experts. Collaborate with IT, HR, and business units to create comprehensive policies and guidelines for AI use. 

Generative AI Don’ts for information managers 

  1. 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 GPTs are trained on large text corpora and can still make mistakes.​
  2. 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.​
  3. 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.
  4. Don’t Sacrifice Privacy and Security. Protect sensitive data. Understand where AI-generated content might inadvertently leak proprietary information or customer data. Prioritize privacy and compliance.​
  5. Don’t Fear AI – Embrace It Wisely. Generative AI is part of the digital transformation journey. Embrace its potential while mitigating risks. Use it to enhance creativity, productivity, and innovation. 

Fun Fact: All images used in this blog post were created in Microsoft Designer, utilising Generative AI. 

Learn more about AI

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Jennie Parmenter
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