Summary of The Malicious Use of Artificial Intelligence

Looking for the article?
We have the summary! Get the key insights in just 5 minutes.

The Malicious Use of Artificial Intelligence summary
Start getting smarter:
or see our plans

Rating 

8 Overall

9 Importance

8 Innovation

7 Style

Recommendation

In 2018, artificial intelligence (AI) technology is advancing at a dizzying speed. Hopes that self-driving cars will soon make roads safer and daily commutes more pleasant come with the possibility that, for example, terrorists can program these same vehicles to run over people. A group of 25 leading AI researchers and scholars in the new field of existential risk research have put together a comprehensive overview of the threat landscape in the age of AI. Although the threat is real, if researchers and policy makers work together to prevent possible misuses, they can prevent AI from becoming a new Frankenstein. For policy makers, political activists, managers and employees of tech companies, and AI researchers, getAbstract believes this timely and important overview is a must-read.

In this summary, you will learn

  • How cybercriminals, governments and terrorists can use artificial intelligence (AI) for malicious ends;
  • How society can protect itself from AI threats; and
  • What responsibility AI researchers have when developing new products.
 

About the Authors

The contributing authors are researchers from several US- and UK-based universities and private institutes, including OpenAI, the Electronic Frontier Foundation and the Center for a New American Security.

 

Summary

AI Characteristics

The field of artificial intelligence (AI) has advanced significantly in recent years. People already use AI-powered applications such as voice recognition, machine translation and search tools. AI technologies will support medical staff and speed up disaster response. However, people can use AI toward both benevolent and malicious ends. Most AI applications are dual-use: The technology behind a drone that drops off packages will also work for drones equipped with bombs. Once set up and trained, an AI system will perform its task reliably and more efficiently than humans. Also, people can replicate the technology and roll it out on a broad scale. The high degree of transparency in the field of AI research makes obtaining and reproducing newly developed AI software easy. Machine learning helps AI systems to improve continually at the tasks they are performing. But AI systems are equally efficient at executing flawed or malicious directions. Hence, AI can multiply the harm a programming error or malicious intent could cause. 

Comment on this summary

More on this topic

Customers who read this summary also read

More by category