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code4thought Joins Big Data Value Association (BDVA)

code4thought Joins Big Data Value Association (BDVA) 07/06/2023 1 MIN READ  / We are delighted to announce our official membership in the renowned Big Data Value Association (BDVA), solidifying our commitment to harnessing the power of data while upholding the highest standards of quality and ethics. BDVA is a prestigious association that brings together industry […]

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code4thought & TÜVIT WEBINAR ON BEST PRACTICES FOR TESTING & AUDITING AI SYSTEMS

code4thought & TÜVIT webinar on best practices for testing & auditing AI systems. 05/05/20231 MIN READ  / May 5, 2023 – code4thought and TÜVIT are excited to announce their co-hosted webinar on “Best Practices for Testing & Auditing AI Systems” on May 23, 2023, at 03:30 PM CET. The event is open to everyone who

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New York City adopts Final Rules on Local Law 144 for Curbing AI Bias in Employment Decisions, Effective 5 July 2023

New York City’s Department of Consumer and Workplace Protection released the highly anticipated final rules for Local Law 144 of 2021, also known as NYC AI Bias Law. The specific Law regulates the use of automated employment decision tools (AEDT) for candidates and employees within New York city and requires algorithm-based technologies for recruiting, hiring, or promotion to be audited for bias before being used.

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The NYC Local Law 144 & the “hidden” business value of AI Audits

The NYC Local Law 144 & the “hidden” business value of AI Audits 05/04/20237 MIN READ  / AuthorYiannis Kanellopoulos CEO and Founder | code4thought Medium Linkedin If you’re working in the HR domain you probably have heard of New York City’s Local Law 144 (also known as New York City’s Algorithmic Hiring Law or Automated

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The future of software engineering: generated by AI or humans?

The future of software engineering: generated by AI or humans? 29/03/2023 4 MIN READ  / AuthorYiannis Kanellopoulos CEO and Founder | code4thought Medium Linkedin With all the buzz around the ChatGPTs (3 and 4) and the latest announcements from GitHub Copilot X we couldn’t but wonder what will be the impact of AI-powered tools on

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5 principles on building trustworthy and reliable ML products

5 principles on building trustworthy and reliable ML products 08/03/20238 MIN READ  / AuthorRomanos Kapsalis AI Engineer | code4thought Linkedin Github In the last decade Artificial Intelligence (AI) systems went from notebooks-to-play-with to Production-ready and large-scale products or applications. The establishment of DevOps practices was necessary for the continuous integration and deployment of a software

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