“…if you hand over management of civilization to machine, then you lose the incentive to understand it yourself or to teach the next generation how to understand it”
Stuart Russell
These are the words of Stuart Russell, an acclaimed AI expert and computer scientist, who has extensively researched the development of AI. In one of his TED talks, he emphasizes the potential of artificial intelligence to impact human lives on a large scale. Russell recognizes the immense power of AI and its ability to transform various aspects of our lives.
Artificial intelligence has been a topic of discussion lately, with some expressing concern over its potential to replace human workers in various industries. This phenomenon, also known as “Technological Unemployment,” has sparked debate on the role of AI in the workforce. However, experts suggest that humans and AI can work together collaboratively to mitigate the risks associated with AI. But beneath this seemingly simple approach to viewing collaboration of AI and humans lies the danger of over-dependency.
Throughout history, the progress of human civilization has relied heavily on the ability to accumulate knowledge and skills, and then pass them on from one generation to the next through documentation, practice, and teaching. However, with the rise of advanced technologies and automation, there is a growing concern that this traditional cycle of learning and passing on knowledge could be disrupted. If machines become the primary source for handling and transmitting information, there is a risk of creating a dangerous loop that may pose a threat to the future of human society.
It is interesting to note that one of the key strengths of humans – learning – is also a key strength of AI. In fact, there are three main methods of machine learning that are used to improve artificial intelligence: supervised learning, unsupervised learning, and reinforced learning. These methods of learning are similar to the way humans learn, which provides an intriguing perspective on how the development of AI mirrors the development of humans.
The issue at hand is the alluring prospect for humans to delegate the learning process to their machines. Across different sectors and industries, under the guise of wanting to create a faster smoother process, AI has been brought into the picture, to collaborate with mankind. However, this collaboration is gradually becoming an over-dependency, And this has raised concerns over the potential consequences of relinquishing control to machines.
Where does this lead to?
Stuart Russell’s quote highlights a grave concern – entrusting machines with civilization’s management dangerously risks the loss of human knowledge transfer to future generations. If we allow machines to take over everything, there will be nothing left for us to learn, and this arguably becomes a step in the direction of extinction
To counter the hazardous impact of excessive reliance on artificial intelligence, it’s crucial that humans continue to prioritize learning and acquisition of knowledge. Cultivating a curious mindset and continuously updating one’s knowledge is essential for adapting to the rapidly evolving technological landscape. While it may be tempting to delegate tasks entirely to AI systems, remaining a lifelong learner is a vital component of successful adaptation.
