The Misleading Term "Artificial Intelligence"

Core Concepts

The author argues that the term "artificial intelligence" is misleading and dangerous, advocating for a pragmatic view of AI as a tool rather than an independent entity.

Abstract

The content challenges the common perception of artificial intelligence, highlighting concerns about its potential dangers and emphasizing the importance of managing new technology intelligently. The author suggests viewing AI as a form of social collaboration rather than an independent intelligent being, promoting a more human-centered approach to technology. Despite acknowledging the benefits of AI in enhancing flexibility and control, there are lingering worries about its impact on society and the need for clear policies to address ethical concerns.

Stats

In a recent poll, half of A.I. scientists agreed that there was at least a ten-per-cent chance that the human race would be destroyed by A.I.
OpenAI’s GPT-4 contains a cumulative record of how particular words coincide in vast amounts of text.
Deepfakes should be labeled as false by programs creating them.

Quotes

"It’s only natural that computer scientists long to create A.I. and realize a long-held dream."
"My position is not that they are wrong but that we can’t be sure; we retain the option of classifying the software in different ways."
"A little human choice is demanded by a technology that is non-repeating."

Key Insights Distilled From

There Is No A.I.

by Cond... at www.newyorker.com 04-20-2023

https://www.newyorker.com/science/annals-of-artificial-intelligence/there-is-no-ai

Deeper Inquiries

How can viewing AI as social collaboration instead of an independent entity change our approach to its development?

Viewing AI as social collaboration rather than an independent entity can shift our focus from creating autonomous intelligent beings to enhancing human-machine interaction. By recognizing AI as a tool for collective problem-solving and creativity, we can prioritize the ethical and responsible use of technology. This perspective encourages us to consider the impact on society, emphasizing the importance of human oversight and control in AI development. It also promotes a more transparent and inclusive approach, where human values and intentions guide the design and implementation of AI systems.

What are the potential risks associated with mythologizing technology like artificial intelligence?

Mythologizing technology like artificial intelligence can lead to unrealistic expectations, fear-mongering, and a distorted understanding of its capabilities. By attributing mystical or god-like qualities to AI, we may overlook the inherent limitations and biases in these systems. This can result in misplaced trust, over-reliance on AI solutions, and neglect of critical ethical considerations. Moreover, sensationalized narratives about AI apocalypse scenarios can fuel public anxiety and hinder constructive dialogue on how to responsibly harness this technology for societal benefit.

How can labeling deepfakes and automated manipulations help mitigate their negative impacts on society?

Labeling deepfakes and automated manipulations is crucial for increasing awareness and promoting digital literacy among users. By clearly identifying synthetic content or deceptive practices generated by AI algorithms, individuals can make informed decisions about the information they consume online. These labels serve as warning signs that prompt skepticism and critical thinking, reducing the potential for misinformation, manipulation, or harm. Additionally, providing actionable information alongside these labels empowers users to take appropriate measures to protect themselves from malicious actors exploiting AI technologies for nefarious purposes.