The dark side of generative AI
Explore the risks of generative AI and discover strategies to safeguard your data while ensuring secure user behavior and decision-making.
The article discusses the potential risks and challenges associated with the use of generative AI, also known as Shadow AI. It highlights the similarities between Shadow AI and Shadow IT, emphasizing the need for organizations to establish centralized strategies and governance to protect their data. The article suggests three ways to reduce risk and protect data: establishing a centralized strategy, classifying data and use cases, and bringing AI to the data. It emphasizes the importance of user behavior and decision-making in ensuring the security of generative AI.
Original article: Shadow AI will be much worse than Shadow IT
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
How do I get my dev team to adopt AI?
A stub on helping mixed-interest development teams find their own useful ways into AI.
Want to learn about agents? Talk to someone who ran an agency.
I spent 20 years running consulting engagements at Fortune 500 companies. Turns out that's the best preparation for running a fleet of AI agents ... because the problems are identical.
Your AI agents need a water cooler
We run a twelve-session AI fleet that coordinates through an IRC breakroom. A friend asked: why are you making AI agents act like humans? The answer turned out to be more interesting than the question.
It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.
Many businesses are not yet prepared to fully reap the benefits of AI.
Unlock AI's true potential for your business by integrating it into your strategy, boosting productivity, and enhancing customer experiences.
Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.
Explore the reality of generative AI in 2024 as hype fades, revealing limitations, job displacement, and the need for regulation.