With regard to much of the technology industry, 2018 has been a year of recognition for artificial intelligence. Because AI systems have been integrated into more products and services, technology deficiencies have become clearer. Researchers, companies and the public in general have begun to face the limitations of AI i Its adverse effects, asking important questions such as: how do you use this technology and for what benefit?
This valuation has been more visible as a parade of negative holders on algorithmic systems. This year the first deaths caused by self-control were produced; the scandal Cambridge Analytica; accusations that Facebook facilitated the genocide in Myanmar; the revelation that Google helped the Pentagon train aircraft surveillance tools; and ethical questions about the human intelligence of the giant of technology. The AI Now research group described 2018 as a year of "cascading scandals" for the field, and it is a precise, if discouraging summary.
But you do not have to see these headlines as not more negative After all, a scandal is better than the evil that goes unnoticed, and the controversy can, in theory, help us to improve.
Make facial recognition. This has been one of the fastest mobile technologies in 2018, with successes, such as the Chinese police who identify a criminal in a music concert, and the radio stations that use technology to identify the guests at real weddings, but also problems Serious, including prejudices, and other mistakes in life changing potentially. Police forces throughout the world have begun using facial recognition in nature, although serious defects were detected after the study and the authoritarian potential of technology has been painfully clear in China, where it is one of the many tools used to suppress the Uyghur minority.
All this is unpleasant to read, but as a result of these controversies, companies have begun to build tools to combat bias problems, and the big technological company such as Microsoft now openly demand the regulation of facial recognition. To read these news in a positive way, more controversy means scrutiny, and, in the long run, more solutions.
And despite this cascade of scandals, 2018 also saw dozens, hundreds of positive and positive implementations of automatic learning and AI. There were small triumphs, everywhere in astronomy, where automatic learning discovered new craters on the moon and ignored the exoplanet; to the fundamental scientific research, such as the use of AI to develop stronger metals and plastics; and healthcare, where there have been numerous examples of IA systems that are able to detect diseases more quickly and precisely than human beings. New tools such as the Google and Amazon plug-and-play machine learning services and accessible learning courses from organizations such as Fast.ai have put more artificial intelligence and more Results have been, to a large extent, beneficial and often inspiring.
These achievements do not balance the great failures, but together they show that AI is a complex field. It does not move in a single moral direction, but, like all the technologies, has been occupied by a wide range of players that they use for a series of results.
Throughout the year, a lesson is highlighted: AI is not magic. It is not a two-letter charm that can be used to summon capital of risk and institutional confidence to whim; nor is it fairy dust that can be sprinkled on products and institutions for instant improvements. Artificial intelligence is one process: something that needs to be examined, deliberate and, if everything is well understood. In other words, for a long time the valuation can continue.
Final grade: B
The Virgin 2018 card: AI
Stars of gold
- AI tools are becoming increasingly accessible
- Numerous use cases that are found in several fields
- A technology that changes the world, it just starts to hit
You need improvements
- Potential for increased vigilance and assistance to authoritarian states
- Great technology companies and governments first deploy AI systems by asking questions later
- Everything will fold with tears (maybe)