What are ways to prevent development of dangerous AI?
When I started on this question two years ago, I expected that passing laws to ban dangerous architectures was the way to go. Then I learned about many new ways from other concerned communities. It was overwhelming.
Here’s a four-level framework I found helpful for maintaining an overview.
Four things need to be available to scale AI:
Data (inputs received from the world)
Work (functioning between domains)
Uses (outputs expressed to the world)
Hardware (computation of inputs into outputs)
At each level, AI gets scaled from extracted resources:
Machine programs searched-for data into code to predict more data.
Workers design this machine to cheaply automate out more workers.
Corporations sink profit into working machines for more profitable uses.
Markets produce infrastructure for the production of more machines.
At each level, AI scaling is increasingly harming people:
Disconnected person bots feed on our online data to spread fake posts between persons.
Dehumanised workplace bots act as coworkers until robots sloppily automate our workplace.
Destabilised society robot products are hyped up and misused everywhere over society.
Destroyed environment robots build more machines that slurp energy and pollute nature.
Communities are stepping up now to stop harmful AI. You can support their actions. For example, you can fund lawsuits by creatives and privacy advocates to protect their data rights. Or give media support for unions to negotiate contracts so workers aren’t forced to use AI. Or advocate for auditors having the power to block unsafe AI products.
Over the long term, our communities can work towards comprehensive restrictions:
Digital surveillance ban no machine takes input data from us, or from any spaces we are in, without our free express consent.
Multi-job robot ban no machine learns more than one job function and only then with workers’ free express consent.
Autonomous use ban no machine outputs to where we live, if not tested and steered by local humans in the loop.
Excess hardware ban no machine can process more than just the data humans curate for scoped uses.
I noticed there are ways to prevent harms and risks at the same time. Communities with diverse worldviews can act in parallel – to restrict how much data, work, uses, and hardware is available for scaling AI. While hard, it's possible to pause AI indefinitely.
What are ways to prevent development of dangerous AI?
When I started on this question two years ago, I expected that passing laws to ban dangerous architectures was the way to go. Then I learned about many new ways from other concerned communities. It was overwhelming.
Here’s a four-level framework I found helpful for maintaining an overview.
Four things need to be available to scale AI:
At each level, AI gets scaled from extracted resources:
At each level, AI scaling is increasingly harming people:
bots feed on our online data to spread fake posts between persons.
bots act as coworkers until robots sloppily automate our workplace.
robot products are hyped up and misused everywhere over society.
robots build more machines that slurp energy and pollute nature.
Communities are stepping up now to stop harmful AI. You can support their actions. For example, you can fund lawsuits by creatives and privacy advocates to protect their data rights. Or give media support for unions to negotiate contracts so workers aren’t forced to use AI. Or advocate for auditors having the power to block unsafe AI products.
Over the long term, our communities can work towards comprehensive restrictions:
no machine takes input data from us, or from any spaces we are in, without our free express consent.
no machine learns more than one job function and only then with workers’ free express consent.
no machine outputs to where we live, if not tested and steered by local humans in the loop.
no machine can process more than just the data humans curate for scoped uses.
I noticed there are ways to prevent harms and risks at the same time. Communities with diverse worldviews can act in parallel – to restrict how much data, work, uses, and hardware is available for scaling AI. While hard, it's possible to pause AI indefinitely.