Appen, a global leader in high-quality training data for machine learning systems, has partnered with the World Economic Forum to design and release standards and best practices for responsible training data when building machine learning and artificial intelligence applications. As a World Economic Forum Associate Partner, Appen will collaborate with industry leaders to release the new standards within the “Shaping the Future of Technology Governance: Artificial Intelligence and Machine Learning” platform, which enables a global footprint and guidepost for responsible training data collection and creation across countries and industries.
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The standards and best practices for responsible training data aim to improve quality, efficiency, transparency, and responsibility for AI projects while promoting inclusivity and collaboration. The adoption of these standards by the larger technology community will increase the value of – and trust in – the use of AI by businesses and the general public.
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Modern AI applications largely depend on human-annotated data to train machine learning models that rely on deep learning and neural net technology. Responsible training data practices include paying fair wages and adhering to labor wellness guidelines and standards. Appen’s Crowd Code of Ethics, released in 2019, shows our continuous dedication to the well-being of its global network of contributors.
“Ethical, diverse training data is essential to building a responsible AI system,” said CEO of Appen, Mark Brayan. “A solid training data platform and management strategy is often the most critical component of launching a successful, responsible machine learning powered product into production. We are delighted to share our 20+ years of expertise in this area, along with our Crowd Code of Ethics, with the World Economic Forum to accelerate standards and responsible practices across the technology industry.”
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