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Source channel @githubtrending · Post #14931 · Jul 9

#dart#capture_traffic#httpdebug#proxy#proxypin#zhuabao ProxyPin is a free, open-source tool that lets you capture, inspect, and modify HTTP(S) traffic on many devices like Windows, Mac, Android, iOS, and Linux. It’s easy to use with a nice interface and supports features like scanning QR codes to connect devices without manual setup, filtering traffic by domain, searching requests, rewriting or blocking requests, and saving traffic history. You can also write JavaScript scripts to customize how requests and responses are handled. This helps you debug network issues, analyze app traffic (including Flutter apps), and improve security or performance efficiently across platforms[1][3]. https://github.com/wanghongenpin/proxypin

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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