By: Jonas Christensen
Deloitte just admitted it used generative AI to produce a $440,000 government report riddled with fake citations, made-up legal quotes, and basic errors.
Embarrassing, yes. Uncommon, no.
Unfortunately ‘AI slop’ is everywhere. It lives in every enterprise that rushed into using Gen AI without a plan, a policy or proper training.
Let's look at what actually went wrong in Deloitte's approach:
- AI was used to fill knowledge gaps - instead of surfacing human expertise
- Outputs were taken at face value instead of being reviewed and refined by skilled professionals
- It was used as an automation shortcut - not as an augmentation tool
Here's what not to do:
- Don’t replace your judgment with AI’s output. It’s called artificial for a reason
- Don’t “automate” complex, multi-layered thinking with generic prompts and copy-paste results
- Don’t hand over trust to a tool that doesn’t understand context, nuance or consequence
I help organisations avoid this exact kind of failure by doing three things that most miss:
1. Build from internal knowledge - AI works best when grounded in what you already know
2. Use AI to amplify, not replace - it should boost your strengths, not mask your weaknesses
3. Train your people to become AI super-users - not just prompt monkeys, but power users who question, adapt and verify AI output
If you’re scaling GenAI in your business, do it right. Use AI to sharpen what you already do best, but don't fall into the trap of "outsourcing" your core value proposition to OpenAI or similar.
here is a link to the original post:
And to the author:
https://www.linkedin.com/in/jonas-christensen-2235313/
‘Helping you master your AI transformation’ | Data Science & AI Author | Podcast Host
By: Jonas Christensen
Deloitte just admitted it used generative AI to produce a $440,000 government report riddled with fake citations, made-up legal quotes, and basic errors.
Embarrassing, yes. Uncommon, no.
Unfortunately ‘AI slop’ is everywhere. It lives in every enterprise that rushed into using Gen AI without a plan, a policy or proper training.
Let's look at what actually went wrong in Deloitte's approach:
- AI was used to fill knowledge gaps - instead of surfacing human expertise
- Outputs were taken at face value instead of being reviewed and refined by skilled professionals
- It was used as an automation shortcut - not as an augmentation tool
Here's what not to do:
- Don’t replace your judgment with AI’s output. It’s called artificial for a reason
- Don’t “automate” complex, multi-layered thinking with generic prompts and copy-paste results
- Don’t hand over trust to a tool that doesn’t understand context, nuance or consequence
I help organisations avoid this exact kind of failure by doing three things that most miss:
1. Build from internal knowledge - AI works best when grounded in what you already know
2. Use AI to amplify, not replace - it should boost your strengths, not mask your weaknesses
3. Train your people to become AI super-users - not just prompt monkeys, but power users who question, adapt and verify AI output
If you’re scaling GenAI in your business, do it right. Use AI to sharpen what you already do best, but don't fall into the trap of "outsourcing" your core value proposition to OpenAI or similar.
here is a link to the original post:
And to the author:
https://www.linkedin.com/in/jonas-christensen-2235313/
‘Helping you master your AI transformation’ | Data Science & AI Author | Podcast Host
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