Mitigating Bias in AI-Powered Products

AI is transforming industries ranging from healthcare to finance to automotive, helping them find efficiencies throughout their workflows and solve problems at scale. Applications such as generative AI, computer vision, and natural language processing (NLP) can find insights, make predictions, and streamline operations.

But AI isn’t intelligent on its own. It needs data—high-quality data, and plenty of it. However, the data on which AI algorithms are trained inevitably contains biases. Biased algorithms limit the potential of AI and lead to flawed or distorted model outputs that can negatively impact marginalized groups.

DataForce understands bias mitigation begins with diverse data collection. This guide looks at data bias—what it is, how it happens, and how the DataForce platform and massive global network of data contributors ensure the data you train your AI engines with will lead to relevant and ethically sound insights.

Read the full guide ‘Mitigating Bias in AI-Powered Products with DataForce’s Global Data Collection and User Studies’ to learn more.