- In today’s rush to adopt machine learning and AI techniques to gain a competitive advantage, there is a real danger that the technology will be deployed in an unsuitable field.
- One option to consider is Blockchain, which has a crucial role to play in the regulation of machine learning and AI technologies.
- Blockchain can also enable access control for any autonomous AI entity based on the reputation of that autonomous agent.
- So, if we imagine a future where standards are defined around what AI has to write to the Blockchain and the access control mechanism that essentially looks at the “reputation” of the autonomous AI entity, then we have a mechanism that can create a control that is impossible to circumvent…
- Enabling an AI leviathan that can enforce identification and reporting by AI autonomous agents to a Blockchain.
Artificial intelligence must be carefully designed and well-regulated; Blockchain could make that possible.
@MarshaCollier: #Blockchain May Play Crucial Role in Artificial Intelligence Development, Regulation
The biggest threat for our future, according to Elon Musk, is the development of artificial intelligence (AI).
As Musk recently pointed out:
“I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that. So we need to be very careful. I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
Musk addresses a couple of key issues. The first is how we should take care when it comes to the implementation of AI. The second, and perhaps the most important challenge, is how can you regulate and oversee this technology?
In today’s rush to adopt machine learning and AI techniques to gain a competitive advantage, there is a real danger that the technology will be deployed in an unsuitable field. This ultimately results in bias and unfairness becoming encoded in our society.
Cathy O’Neil in her book Weapons of Math Destruction lays out the dangers currently present when it comes to the rapid and unthinking adoption of machine learning and AI in a variety of different fields, including US prison sentencing and education. Her main thesis is that predictive models are never neutral but reflect the goals and ideologies of those who create them. They also tend to load the dice against poor people, reinforcing inequality…