DataForce & Ethical AI

Ethical AI is essential for ensuring fairness, transparency, and responsibility in AI development and use. Without it, businesses face significant risks like reputational damage, legal issues, and the erosion of customer trust. Unethical AI can lead to biased decision-making, privacy violations, and regulatory fines, undermining operational efficiency and causing long-term harm.

在创博数据，我们汇聚了130万名经过审查的贡献者， 形成一个多元化人才库。这个人才库能够从多种文化、教育和区域的角度出发，对人工智能模型进行全面评估，助力企业构建出能够真正增强全球人类智能的人工智能系统。 通过优先考虑伦理化AI，公司可在培养信任和忠诚度的同时保护自己，从而在人工智能驱动日益深入的世界中保持竞争力。

A Community Built Through Strategic Recruitment

Impact Sourcing for Bias Mitigation

Take the guesswork out of what teams and global persons are needed to address bias mitigation. At DataForce, we believe that mitigating bias starts with who we involve in AI creation. By prioritizing impact sourcing, we actively build a diverse and inclusive global workforce, ensuring that AI models are shaped by voices from around the world. Our commitment to equity means fair compensation and creating job opportunities in underrepresented, lower-income regions. This diversity in data collection and annotation ensures that the data driving AI reflects a wide range of perspectives, reducing the risk of bias and fostering more equitable AI outcomes. Impact sourcing is not just a business strategy—it's a critical tool for building unbiased, ethical AI systems.

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50 Person
Sourcing Team

• Staffing & Training
• Language Production
• Information Management
• Quality Control measures

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Europe
Asia
Africa
Oceania