Source URL: https://www.wired.com/story/human-misuse-will-make-artificial-intelligence-more-dangerous/
Source: Wired
Title: Human Misuse Will Make Artificial Intelligence More Dangerous
Feedly Summary: AI creates what it’s told to, from plucking fanciful evidence from thin air, to arbitrarily removing people’s rights, to sowing doubt over public misdeeds.
AI Summary and Description: Yes
Summary: The text discusses the predictions surrounding the emergence of artificial general intelligence (AGI) and highlights ongoing risks associated with current AI technologies, particularly human misuse and the proliferation of harmful applications like deepfakes and flawed decision-making in critical sectors. It provides valuable insights for security and compliance professionals about the potential consequences of AI misapplication and the emergence of “liar’s dividend” scenarios.
Detailed Description:
The text addresses significant concerns regarding the evolution of artificial intelligence and its implications for society, especially in relation to risks posed by misuse. Here are the major points that illustrate its relevance to various fields:
* **Predictions on AGI**:
– **Sam Altman and Elon Musk Predictions**: The CEO of OpenAI anticipates that AGI could emerge around 2027 or 2028, while Musk posits that it might be ready by 2025 or 2026. However, the text argues these predictions may be overstated.
* **Misuse of AI**:
– **Unintentional Misuses**: Legal professionals are increasingly relying on AI tools such as ChatGPT, which can generate inaccurate results. Cases of lawyers faced with sanctions for including fictitious AI-generated citations in court documents are highlighted. Notable examples include:
– A British Columbia lawyer ordered to pay costs for including non-existent cases.
– New York lawyers fined for false citations.
– A Colorado lawyer suspended for using fabricated court cases.
– **Intentional Misuses**: The document discusses instances of sexual deepfakes, specifically mentioning an incident involving images of Taylor Swift. The bypass of Microsoft’s guardrails illustrates the ease with which people can generate harmful content using publicly available tools.
* **Increasing Difficulty in Truth Verification**:
– The fidelity of AI-generated content across different media (audio, text, images, video) is set to challenge the distinction between real and fabricated sources, leading to scenarios where individuals in power might deny the authenticity of evidence (the “liar’s dividend”).
– Examples include Tesla’s response to allegations regarding autopilot safety and politicians denying recorded statements as fakes.
* **Exploitation of AI and Its Consequences**:
– The text mentions how some companies are misleadingly using the label “AI” to sell dubious products. The hiring company Retorio, which assesses job candidates, was found to base assessments on superficial visual cues rather than substantial qualifications.
– It points to the misuse of AI in critical sectors like healthcare and social services, emphasizing a case in the Netherlands where an algorithm wrongfully accused parents of child welfare fraud, leading to significant political ramifications.
* **Overview of Challenges Ahead**:
– The text concludes that AI risks arising from human misuse are more pressing than fears regarding AI acting autonomously. Such misuses can stem from over-reliance on AI tools, the creation of harmful content, or inappropriate applications in high-stakes decisions affecting people’s lives.
In summary, professionals in security, compliance, and related fields must be vigilant about the implications of AI use, both to mitigate risks and to ensure responsible integration of AI technologies into society.