Meta said that when the content was flagged, the company had no indication that the individual depicted in the video was 'a real person' because they did not report the content.
大多数人认为平台应该依赖受害者举报来确认内容真实性，但作者质疑这一做法，暗示平台有责任主动识别AI生成的性化内容，即使没有受害者举报。这一观点挑战了当前平台责任边界的主流认知，要求平台承担更多预防性责任。
For AI to respect human dignity and truly serve the common good, responsibility must be clearly defined at every stage: from those who design and develop these systems to those who use them and rely on them for concrete decisions. In many cases, however, the internal processes leading to a result remain opaque, making it harder to assign responsibility and correct errors. This is where accountability becomes crucial: the possibility of identifying who must “account” for decisions, justify them, monitor them, and, when necessary, challenge them and remedy any harm caused.
Passage starts with "For AI to respect" and ends with "identifying who must account for decisions". Rhetorically, starts from the premise that AI could respect but quickly changes focus from tool to designer/developer/user.
Anyone who uses AI tools in our editorial workflow is responsible for the accuracy and integrity of the resulting work.
这一规定表明Ars Technica对使用人工智能工具的人员有明确的责任要求，强调了准确性和完整性。
When you delegate an issue to an agent in Linear, the delegation is visible. There's a person who set the agent loose within that system, and that person is accountable for the outcome. You design the environment well, you let the agent run, and you own what it produces.
大多数人认为AI代理的行为应由代理本身或实时监控系统负责，但作者提出责任在于最初设置代理的人。这一观点将问责制从实时交互转向了初始授权，挑战了AI责任归属的主流认知。