Reducing Bias in AI Models With Quality Data and Diversity

Posted by Amanda Del Signore on Tue, Jan 02, 2024 @ 10:36 AM
Amanda Del Signore

22 spotlight Square-Jan-02-2024-03-33-46-6412-PMStevie-winner Appen is a global leader in data for the AI lifecycle, with over 25 years of experience in data sourcing, data annotation, and model evaluation by humans.

Appen leverages the expertise of over 1 million skilled contractors who speak over 235 languages in over 170 countries to give leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence and capabilities to launch innovative AI intelligence systems and products.

Enabling organizations to launch, update, and operate unbiased AI models, Appen demonstrates its commitment to creating AI for everyone through a variety of projects and partnerships focused on the diversity of languages and dialects. This includes Translators without Borders, the Inuktitut translation project, and African-American Vernacular English datasets.

By specializing in data for the AI lifecycle, Appen is enabling companies to execute, expand, and improve AI initiatives. Appen is trusted by the world’s leading businesses like Amazon, Microsoft, Google, Salesforce, and Adobe.

Commitment to Diversity, Equity & Inclusion (DE&I)  
As a part of Appen's commitment to inclusivity, the company partners with several Impact Sourcing organizations that help refugees, developing countries, or under-resourced communities earn a living. One example is a recent partnership with Mercy Corps Ventures, bringing microwork to those without access to traditional forms of banking through stablecoins.

Additionally, Appen improved its platform to be more transparent about pay for Appen Crowd workers by implementing a "Recommendation Engine" to provide guidance on pay. While paying a fair wage is a core value, the latest product improvement provides clients with a better-estimated wage per task, so the client can be confident the minimum wage is met. This process shows commitment to equity, inclusivity, and wellness of our Crowd, and the ability to provide work to unemployed/underemployed communities.

Appen’s partnerships with organizations like Translators Without Borders provide employees the chance to work on new and exciting projects to help improve the world for others.

Appen’s mission is to reduce bias in AI models. Businesses are now using AI to venture into previously unexplored territory, which leaves a greater possibility of inaccurate, incomplete training datasets to build AI models and an increased likelihood of biases.

Quality Data Essential for Quality AI
Human-in-the-loop data plays a crucial role in eliminating bias across AI applications. Biases of socioeconomic, demographic, and other origins are always an inherent risk when deploying AI models. Humans evolve over time and having a human in the loop to monitor the model as the data drifts becomes crucial for data science teams to continue to deploy safe, holistic, and inclusive models. Using human-in-the-loop datasets, Appen makes safer, more inclusive AI deployment and scaling a reality. 

To give businesses the insight they need to make informed decisions about their AI initiatives, Appen recently released its 2022 State of AI report. The sought-after 8th annual State of AI report is a cross-industry effort aimed at providing an overview of the status of AI and machine learning through input from businesses and their senior decision-makers and technical practitioners. Appen partnered with The Harris Poll to collect and analyze the survey data to ensure unbiased results. Appen’s 2022 report surveyed 504 participants across North America and Europe to understand AI adoption, the maturity of data management across the AI lifecycle, and the value placed on responsible AI.

The 2023 report reveals that, although AI adoption has slowed following the surge prompted by the global pandemic, companies are shifting their focus to ethics, data diversity, and maturing their use of AI. Appen’s research also found that sourcing quality data is the biggest hurdle to creating AI. To successfully build AI models, organizations need accurate and high-quality data, but business leaders and technologists are experiencing a significant gap in data accuracy. The report also dives into industry trends such as the increased reliance on synthetic data and the prioritization of ethics in AI projects.

With over 25+ years of experience putting together high-quality training data that strives to be free of unconscious bias, Appen’s robust synthetic datasets allow companies to break away from traditional AI data limitations and reduce human bias. Pairing this synthetic data in conjunction with authentic, historical data points ensures that datasets are robust, accurate, and realistic. These capabilities are making strides across several industries, such as automotive, financial services, retail, and healthcare.

Appen won a Bronze Stevie® Award for Most Innovative Tech Company of the Year - Up to 2,500 Employees in The 2023 American Business Awards®.

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