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The Evolving Landscape of AI Risk

By Adam Pease

The Evolving Landscape of AI Risk

The media’s spotlight has been increasingly turning to cover the dangers and risks of generative AI.

This article discusses recent concerns about AI, both in government and media, and considers the implications for this growing sector.

A New AI Risk Report

Recently, TIME magazine obtained an American government-funded report that covered the risks of new generative AI systems. The report went as far as to compare the current race to artificial general intelligence to the Manhattan Project and the dangerous effects of nuclear weapons and energy.

Today, this parallel is invoked frequently to warn against the potential risks of AI, which range from misinformation to more extreme narratives about rogue AI systems disrupting human civilization. These concerns go hand in hand with attempts to seek regulation, and this new report suggests that the federal government may soon be turning its eye to regulate this emerging set of technologies.

 AI Risk Today

Is generative AI inherently dangerous? Like many technologies, the risks posed by generative AI depend very much on the technology’s user. For bad actors, generative AI does present an opportunity to do anything from spreading misinformation online, to impersonating individuals and advanced methods of hacking.

While these concerns are serious, the ability of society to adapt to technological change by developing new norms, ways of thinking, and forms of organization, should not be underestimated. In the case of misinformation, for example, the proliferation of deepfakes may have a countervailing effect, causing people to become more critical and suspicious of the media they consume.

Bottom Line

While generative AI poses risks now, it’s unclear whether the path to dealing with these problems lies with government regulation, or perhaps with increased user literacy about the nature of AI and the dangers it can create.


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This blog is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 35: Zoom’s New Generative AI Push

Blog 36: Google Will Flag AI-Generated Content

Blog 37: Writer Is Helping Bring Generative AI to the Enterprise

Blog 38: ChatGPT Gains Internet Access

Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation

Blog 40: AI’s Integration into Modern Healthcare

Blog 41: Nvidia and the Escalating Chip War With China

Blog 42: Universal Music Group Takes Anthropic AI to Court for Copyright Infringement

Blog 43: OpenAI Extends ChatGPT Cut-Off Window

Blog 44: OpenAI Introduces Custom GPTs

Blog 45: Meta Dissolves Responsible AI Team Amidst OpenAI Shakeup

Blog 46: Generative AI and the Workforce: Klarna Freezes Hiring to Focus on AI Productivity

Blog 47: New Google Paper Exposes ChatGPT Security Risks

Blog 48: Will AI Newscasters Take Over?

Blog 49: The Smart Water Bottle | Tech Gifts for 2024

Blog 50: Looking Forward to Generative AI in the New Year

Blog 51: Nvidia Makes Play for AI-At-Home with New Chip Line

Blog 52: AI Convincingly Mimics Human Handwriting

Blog 53: AI and the Future of Work: Navigating Through Change

Blog 54: Microsoft and Semafor: Shaping the Future of AI-Assisted Journalism

Blog 55: Navigating New Frontiers: California’s Proposed AI Regulations

Blog 56: OpenAI Stuns with New Generative Video Model: Sora

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