However, we think that governments and lawmakers should act to regulate the use of this technology to ensure it's used appropriately. We provide guidance to all Rekognition customers, including law enforcement customers, on the technology's proper use, and we have a clear Acceptable Use Policy. Like most technology, facial recognition is two-sided, meaning it can also be misused. For example, Amazon Rekognition has helped locate hundreds of missing children and identify thousands of child sex trafficking victims. Facial recognition technology is already solving some complex problems. Governments should work quickly to put in place effective regulatory frameworks and guardrails for facial recognition technology. It's not only that diversity, equity, and inclusion are good for business-it's more fundamental than that. We created Amazon Future Engineer, a childhood-to-career computer science education program designed to inspire and educate millions of students globally from underserved communities to pursue careers in computer science. We also believe it's critical that we increase opportunity for underrepresented groups to enter the technology workforce. Amazon prioritizes equal pay, and since we’ve been measuring and publishing the ratio over the past several years, women have earned between 99.8 and 100.0 cents for every dollar that men have earned in the same jobs. It’s critical that Amazon employees are also diverse and that we foster a culture where inclusion is the norm.
Customers represent a wide array of genders, races, ethnicities, abilities, ages, religions, sexual orientations, military status, backgrounds, and political views. Diversity, equity, and inclusion are good for business-and more fundamentally, they're simply right.
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