На информационном ресурсе применяются рекомендательные технологии (информационные технологии предоставления информации на основе сбора, систематизации и анализа сведений, относящихся к предпочтениям пользователей сети "Интернет", находящихся на территории Российской Федерации)

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The dangers of letting Big Tech control AI

While there are many trending and debate-worthy topics within the world of artificial intelligence, there’s a rather profound one that few people are starting to discuss openly. Namely, there’s a fundamental disconnect between how the tech industry communicates about innovations in AI versus the actual value delivered to consumers and enterprises.

Worse, AI is not fully democratized and is not the bastion of major tech companies. Fortunately, that is about to change.

As consumers, we are awash in a myriad of daily stories concerning AI and machine learning, from IBM Watson’s latest use case to the warnings of Stephen Hawking to the rise of AI-style terminators. The average user is perhaps vaguely aware that AI powers everything from their inbox to their music playlists to their social media feeds. Savvier users may be more familiar with AI’s potential to impact industries on a global scale, such as in health care, advertising, finance, security, and more.

The impression we have, therefore, is that AI is widespread and easily accessible — that humanity is benefiting from these groundbreaking applications, and that they impact our lives in a meaningful and helpful way. But this is a big misconception. The reality is that we have enormous strides to make in democratizing AI development, and making these innovations truly accessible and available to mankind.

As it stands now, the vast majority of AI is being developed within the enormous black hole of a few major technology platform companies. These household name tech giants are monopolizing the best and brightest human capital, and they have access to Big Data and other critical resources which is limiting the ability of other major global enterprises, let alone small to mid-size companies, to compete.

These industry giants have their own specific business models and requirements, and as a result, they tend to focus on a relatively limited subset of AI applications. The problems they are tackling, while very real and worthwhile, are still just a tiny portion of AI’s…

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