One year ago, generative AI burst onto the scene and for the first time since the smartphone, people began to change the way they interact with technology. 

This month (May 2024) Microsoft and LinkedIn released their latest 2024 Work Trend Index Annual Report which highlights some interesting trends around the use of AI within the workplace.  

For Information Managers this means that we must ensure responsible Information Management of AI in the workplace. This blog outlines 10 strategies you can use to help you achieve this goal. 

According to the 2024 Work Trend Index Annual Report released by Microsoft and LinkedIn in May 2024:

  • 75% of knowledge workers use AI at work today, and 46% of users started using it less than six months ago.
  • 78% of AI users are bringing their own AI tools to work (BYOAI)—it’s even more common at small and medium-sized companies (80%).
  • Users say AI helps them save time (90%), focus on their most important work (85%), be more creative (84%), and enjoy their work more (83%).
  • 79% of leaders agree their company needs to adopt AI to stay competitive, but 59% worry about quantifying the productivity gains of AI.
  • 76% of professionals say they need AI skills to remain competitive in the job market.

So, how can we (information managers) use this opportunity to support employee enthusiasm for AI while ensuring responsible information management and robust information protection in our organisations? Here’s how:

10 strategies to ensure the responsible Information Management of AI within the workplace 

  1. Educate employees on AI benefits and risks: Start by educating employees about the benefits of AI in information management. Highlight how AI can automate repetitive tasks, improve decision-making, and enhance productivity. At the same time emphasise the risks associated with AI, such as data privacy concerns, bias, and security vulnerabilities.
  2. Promote AI literacy: conduct workshops or training sessions to enhance employee’s AI literacy. Teach them the key AI concepts and terminology, AI benefits, risks and limitations.
  3. Create clear guidelines for AI use: develop guidelines for using AI tools, including information protection, privacy and ethical considerations. Ensure all employees understand the boundaries and limitations of AI systems.
  4. Encourage learning: Create a learning culture within the information management team and the wider organisation, encouraging employees to learn about AI.
  5. Collaborate with IT and Data teams: foster collaboration between information managers, IT professionals, and data scientists. Work together to identify AI solutions that align with information management goals.
  6. Implement AI-driven information systems and solutions: Deploy AI-powered information systems that streamline data capture, storage, retrieval, analysis and disposal. Implement AI-powered chatbots for common information management enquiries.
  7. Prioritise data protection and privacy: develop robust data protection policies and ensure compliance with regulations. Regularly audit the use of AI within your organisation to identify and address vulnerabilities.
  8. Monitor AI performance and user feedback: continuously monitor the performance of AI systems and gather feedback from your users for ongoing improvements of user experience with AI.
  9. Address employee concerns and fears: acknowledge that some employees, including people on the information management teams, may have concerns about AI replacing their jobs. Provide transparency about AI implementations, emphasizing that AI is meant to augment human capabilities, not replace them.
  10. Celebrate AI success stories: share success stories where AI has positively impacted information management in your organisation. Recognise and celebrate employees who contributed to successful AI implementations.

These 10 strategies will ensure the right balance between innovation and responsible information management with AI at work. 

Quick fixes and immediate resources to help you solve and achieve your current AI issues and goals

If your company is currently thinking about rolling out Microsoft Copilot as its AI tool, we at Leadership Through Data offer a Microsoft Copilot Readiness Assessment. It’s a service which helps organisations adopt and optimize Microsoft Copilot, and is suited for companies who are already in Microsoft 365 with active usage and subscriptions.

If it’s a bit of training you’re after, we also have a few training courses that would be of interest to you and your wider organisation:

  • Artificial Intelligence: Getting started quickly but safely (ANZ/UK/US)
  • Microsoft 365 Copilot for Information Managers (ANZ/UK/US)
  • Microsoft 365 Copilot for End Users – Coming very soon at the time this blog was published – Check this page to see if this course is Live.

If you’d like to chat some more, our team below can certainly help guide you in the right direction.

Narelle Carnovale (AUS)
[email protected]
+61 416 559 691
Connect with me on LinkedIn

Charlotte Easton

Charlotte Easton (UK)
[email protected]
+44 1206 807 267
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Jennie Parmenter (US)
[email protected]
+1 727 287 6527
Connect with me on LinkedIn