TGTGInsighttelegram intelligenceLIVE / telegram public index
← 云游Cloud|40%AFF诚招推广|永久免费

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @yunucloud_Channels · Post #25 · Nov 1

#更新 一、订阅流量变更 探索者 Explore 30G 变更为 150G 旅者 Voyager 150G 变更为 750G 远行者 Pathfinder 300G 变更为 1500G 无界者 Infinity 1000G 变更为 5000G 严禁滥用/订阅分享 二、水群积分暂时关闭 这个功能与初衷不符,暂时关闭

Hashtags

Results

1 similar post found

Search: #automatedsystems

当前筛选 #automatedsystems清除筛选
AI & Law

@ai_and_law · Post #286 · 04/16/2024, 07:04 AM

US Federal Agencies Issue Joint Statement on Automated Systems On April 3, 2024, several US federal agencies released a joint statement on the Enforcement of Civil Rights, Fair Competition, Consumer Protection, and Equal Opportunity Laws in Automated Systems. Signatories include leaders from the EEOC, Consumer Financial Protection Bureau, Department of Justice, Federal Trade Commission, Department of Education, Department of Health and Human Services, Department of Homeland Security, Department of Housing and Urban Development, and Department of Labor. The statement underscores the commitment of federal agencies to enforce legal protections applicable to automated systems, defined as software and algorithmic processes, including AI, used to automate workflows and decision-making. Emphasizing the dual objectives of monitoring automated tools' evolution and fostering responsible innovation, agencies reaffirm the relevance of existing laws to automated systems. They stress their role in ensuring compliance with these laws during system development. This follows previous efforts by the EEOC and other agencies to address discrimination and bias in automated systems. The expanded participation in this year's statement reflects the government's heightened focus on regulating automated systems and enforcing relevant laws. The statement emphasizes that AI and automated systems fall under existing laws, dispelling the notion that their "black box" nature exempts them from compliance. It identifies potential sources of unlawful discrimination or bias, including skewed training data, lack of transparency, and inadequate consideration of social context during design and use. Compliance with existing and AI-specific laws is paramount for fostering trust and safe AI innovation, as highlighted in the joint statement. #automatedsystems#AI#AIcompliance