ArtificiaI Intelligence: How knowledge is created, transferred, and used Trends in China, Europe, and the United States
In recent years, artificial intelligence, or AI, has gained a surge in attention from policy makers,
universities, researchers, corporations, media, and the public. Driven by advances in big data
and computing power, breakthroughs in AI research and technology seem to happen almost
daily. Expectations, but also fears, are mounting about the transformational power of AI to
change society. In this whirlwind of attention and development, terms are getting confused.
“artificial intelligence,” “machine learning,” and “data science” are often used interchangeably,
yet they are not the same. AI is often intuitively understood as an umbrella term to describe the
overall objective of making computers apply judgment as a human being would. Themes,
such as deep learning, drop out of the AI umbrella to become their own research fields
and technologies.
In recent years, artificial intelligence, or AI, has gained a surge in attention from policy makers,
universities, researchers, corporations, media, and the public. Driven by advances in big data
and computing power, breakthroughs in AI research and technology seem to happen almost
daily. Expectations, but also fears, are mounting about the transformational power of AI to
change society. In this whirlwind of attention and development, terms are getting confused.
“artificial intelligence,” “machine learning,” and “data science” are often used interchangeably,
yet they are not the same. AI is often intuitively understood as an umbrella term to describe the
overall objective of making computers apply judgment as a human being would. Themes,
such as deep learning, drop out of the AI umbrella to become their own research fields
and technologies.
