The Dawn Project is campaigning to ban unsafe software from safety critical systems, which could be targeted by military-style hackers to cause chaos to our society, starting with the following key industries:

  • Transportation
  • Healthcare
  • Communications
  • Water treatment plants
  • Power grids

With the proliferation of artificial intelligence across the globe, it is becoming apparent that the lack of effective restrictions on these unsafe and untested softwares and the desire to use them in safety-critical infrastructure risks endangering the public.

Artificial Intelligence: A Magnificent Scam by the Magnificent Seven

  • Microsoft poured $13 billion into OpenAl’s Chat-GPT4o. I asked it to write 10 sentences that ended in the word tree. Only 3 sentences ended in the word tree!
  • Google sank tens of billions into Gemini Al. When it was asked to generate an image of a 1943 German Soldier, it showed a Black man and an Asian woman in Nazi uniforms!
  • Tesla’s self-driving Al will blow past a stopped school bus with its red lights flashing and stop sign extended and mow down a child in a school crosswalk!
  • The New York Times is suing OpenAl because Chat-GPT passes off, as its own work, lightly edited New York Times articles.
  • McDonald’s Al drive-thru experiment failed. Workers with more intellectually demanding jobs have nothing to fear.

Each time a $10 billion Al face plants, its promoters say: “nothing is perfect, it’s young, it needs time to learn, these are early innings, it needs more data.”

Sam Altman (whose Al can’t write 10 sentences ending with the word tree) wants the government to spend $7 trillion to build a super Al. Like the gambler, who insists his “system” is sound, Al proponents are once again begging for vastly more money (and electric power plants) to build even bigger Al systems to double down as they have after every previous failure to make anything intelligent.

Al nerds claim to be the smartest people in the world, the masters of the technology that will transport humanity into a paradise where everyone gets everything they want and no one has to work (or maybe everyone will be exterminated), but they are just modern-day itinerant preachers selling patent medicine.

When the Al hype bubble bursts, the companies that focused on technology development instead of Al will have built up an insurmountable technological lead on gullible competitors that focused on AI.

The dangers of allowing defective and untrained AI to operate in safety-critical contexts cannot be underestimated.

Despite obvious defects in AI systems, such as chatbots still failing to answer basic questions, or rewriting facts based on misunderstandings of its training input, AI ‘pioneers’ continue to overstate the progress these systems have made, suggesting that they are now ready to be released in major infrastructure across the world.

When AI systems are utilised in major technologies with potentially devastating impact, it is paramount that they never fail in any safety-critical incident. The dangers of releasing these technologies on a wider scale to be used for weapons or heavy machinery, including cars, cannot be ignored or underestimated.

Commercial-grade software should not, and cannot, be used for any device which has the potential to harm or kill a person. These systems have already been proven to not be fit for purpose. So how can tech masters claim that they are ready to be used in potentially deadly infrastructure solutions?

It is critical that the public be made aware of the dangers of deploying this unsafe and untested software, before it is distributed on a wide scale.

See why Artificial Intelligence cannot be trusted in safety-critical systems: