Artificial intelligence (AI) refers to complex software that performs tasks in a way similar to human brains, often by sensing and responding to a feature of their environment. This could mean learning to solve problems in unexpected ways, recognising the nuances of speech, or exhibiting some form of human-like creativity.
Just as no single quality defines human thinking, no clear line differentiates more basic computer programs from AI. It can be thought of more as an ideal than a category – using our own penchant for learning and problem solving to inspire new technology and answers to some of our biggest and most complex questions.
Are there different kinds of artificial intelligence?
There are many different fields of AI, including ‘robotics’, but one of the most commonly known forms is referred to as ‘machine learning‘. This involves a program applying known information to new experiences and ‘learning’ how to take this historical information and its experiences into account in future actions.
Machine learning can find patterns in large amounts of data that humans might otherwise miss.
Advanced machine learning is often described as ‘deep’ learning. While based on the human brain, these machines could one day exist on a whole other level, outsmarting us like we outsmart chimps. Programs are expected to not just learn patterns, but make decisions that will lead to new avenues for learning that aren’t anticipated by the programmer. This could involve creating novel art pieces after analysing a library of paintings, or coming up with a new game after playing through a history of computer games.
The use of AI, however, could also be more insidious. Prominent figures like Stephen Hawking and Elon Musk have been warning about the inevitable and imminent risks of AI for years. They’re concerned it could soon become super intelligent and find it no longer has a need for us humans.
More than 100 leaders and experts on AI have urged the United Nations to ban killer robot technology for fear of what it could ultimately do.
Others, however, argue the biggest threat from AI will continue to be how humans choose to use it.
Even seemingly innocuous forms of advanced AI can be used maliciously. Recently, computer scientists had to scale down a “chameleon-like” language prediction system saying it was too dangerous to release to the public.
AI is already changing the world in ways we couldn’t imagine just a few decades ago. But it’s up to us how it shapes the future.
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Published at Tue, 13 Oct 2020 23:15:00 +0000
What if artificial intelligence helped solve international crimes? In any case, this is the objective of the European Roxanne project, a computer analysis program capable of cross-checking written, audio or video information. “A feat.”
To solve a crime, police officers analyze evidence by combining different sources of information such as phone calls, emails, written or voice messages, fingerprints or even interviews. But the amount of data can be enormous, especially when it comes to international crimes.
Coordinated by the Idiap research institute, the project aims to teach a computer to create reconciliations between data, the institute located in Martigny (VS) explains in a press release on Tuesday. Once finalized, “this tool will make it possible to map all the clues and to highlight the links of intensity and relevance between different information, a real feat”, tells Keystone-ATS the spokesperson for ldiap, Nicolas Filippov.
It is therefore not a question of replacing the investigators but of assisting them by prioritizing all the data available in sprawling cases. “They can then make the most interesting connections,” he adds.
Researchers have developed a set of tools based on technologies such as machine learning and deep learning. To function, these technologies must learn on the basis of large amounts of training data related to the field, such as telephone conversations, anonymized emails or episodes of the American series “Experts”.
The goal is to test and validate the platform’s analytical capabilities developed in the project.
Nicolas Filippov, spokesperson for the idiap
A few days ago, around 80 participants gathered remotely for the first field test. And the first results from the algorithm are conclusive, according to the institute. Funded by the European Union and coordinated by Idiap, the Roxanne project brings together scientists, manufacturers and various police services from 16 countries.
For ethical and data protection reasons, the analysis platform is regularly checked. Two versions of this system should be made available to partners in 2021 and 2022.
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Published at Tue, 13 Oct 2020 22:41:15 +0000