【英文】美国电子隐私信息中心报告：生成式人工智能的潜在有害影响与未来之路（86页）

英文研究报告 2023年07月03日 06:51 管理员

OpenAI’s decision to release ChatGPT, a chatbot built on the Large Language Model GPT-3, last November thrust AI tools to the forefront of public consciousness. In the last six months, new AI tools used to generate text, images, video, and audio based on user prompts exploded in popularity. Suddenly, phrases like Stable Diffusion, Hallucinations, and Value Alignment were everywhere. Each day, new stories about the different capabilities of generative AI—and their potential for harm—emerged without any clear indication of what would come next or what impacts these tools would have. While generative AI may be new, its harms are not. AI scholars have been warning us of the problems that large AI models can cause for years.

These old problems are exacerbated by the industry’s shift in goals from research and transparency to profit, opacity, and concentration of power. The widespread availability and hype of these tools has led to increased harm both individually and on a massive scale. AI replicates racial, gender, and disability discrimination, and these harms are weaved inextricably through every issue highlighted in this report.OpenAI and other companies’ decisions to rapidly integrate generative AI technology into consumer-facing products and services have undermined longstanding efforts to make AI development transparent and accountable, leaving many regulators scrambling to prepare for the repercussions. And it is clear that generative AI systems can significantly amplify risks to both individual privacy and to democracy and cybersecurity generally. In the words of the OpenAI CEO, who indeed had the power not to accelerate the release of this technology, “I’m especially concerned that these models could be used for widespread misinformation.