AI News, cyber

Artificial Intelligence Will Change Human Value(s)

The changes that artificial intelligence will bring to the technology landscape could pale in comparison to what it wreaks on global society.

Humans need not be taken over by intelligent machines, as some doomsday soothsayers predict, to face a brave new world in which they must revolutionize the way they conduct their daily existence.

From employment upheaval to environmental maintenance, people may face hard choices as they adapt to the widespread influence of artificial intelligence advances.

Where ongoing research largely focuses on applied AI, it eventually will expand to cover a broader range of aspects.

Machine learning depends completely on databases and logic, she explains, while symbolic learning is closer to human knowledge built on sensory perception.

Halal offers that fears of an apocalyptic AI takeover of humanity are greatly exaggerated, as people fail to recognize what actually is happening.

All those things that people are doing right now are going to grow dramatically in a very complex world where we will need a lot of those people doing those difficult jobs.” This will change the way people learn, think, work and participate in society, he says.

Less complex, routine-knowledge jobs in service and manufacturing will see losses of 30 to 40 percent by the late 2020s.

These professionals will be able to perform more challenging and creative work, which should lead to about 10 percent growth in their jobs.

Raj notes that AI already is affecting day-to-day activities in the financial sector, national security, health care, criminal justice and transportation, to name a few.

Big cloud providers are foremost among AI users for language translation and recognition, including facial, voice, image and speech.

Liquid biopsies, in which cells or bacteria circulating in a patient’s bloodstream are isolated for comparison with large amounts of data, also is accelerated by AI.

China already has deployed 200 million video cameras around its cities, Raj reports, and this number is expected to double over the next two years.

For example, the insurance industry is able to automate property claims more accurately and detect automobile fraud.

AI greenhouse control will allow increased and more diverse crop growth irrespective of climate, she notes, thus opening up new venues for agriculture.

In computer vision, machine learning models associate each of the pixels to objects, and they are able to identify which objects are shown, Raj points out.

Raj explains that AI requires a strong machine to process information, and the semiconductors used for AI applications need to be much more powerful than those currently available.

The four chips constituting CPU-3 feature 128 gigabytes of bandwidth and twice the power of its immediate predecessor, she says.

Another traditional graphics chipmaker, NVIDIA, is developing a new AI chip that will generate better graphics and image manipulation.

Halal suggests that during the employment evolution, the government may need to mitigate the changeover by providing a guaranteed annual income that would soften the blow of unemployment.

Young people who don’t want to become professionals should enroll in a community college to gain the skills to be machine technicians instead of operators, Halal continues.

“The people-in-seats approach of teaching that we’ve been doing all of these years, in which you try to stuff knowledge down their throats, will disappear,” he predicts.

“People will have to learn how to learn on their own—and they’ll have to learn continuously.” Current education curricula are based on “the sausage stuffing model,” Halal continues.

The teacher listens to the students and coaches them, instead of simply presenting knowledge in a lecture hall—which Halal says will become obsolete.

Halal offers that, as routine knowledge jobs are eliminated, the workforce will move up to the next logical phase of development, which is “beyond knowledge.” This comprises consciousness, values, beliefs and other things that are far more important than knowledge, he says.

Cylance

is a software firm that develops antivirus programs and other kinds of computer software that prevent, rather than reactively detect, viruses and malware.

Cylance has been described as “the first company to apply artificial intelligence, algorithms, and machine learning to cyber security.”[2]

Cylance's founding came about as a result of McClure's speeches he had previously given on cybersecurity, where he was often asked how he protected his own computer.

He noted that he lacked trust in any security technology since it was all reactive in nature, meaning it only cleaned up after an attack.

McClure stated that Cylance's antivirus product does not use typical security features, such as unique signatures, heuristics, behavioral analysis, sandboxing, virtualization, or blacklisting.

McClure stated that Cylance security features are similar to the human brain's way of identifying threats, wherein it 'teaches' computers to identify indicators of an attack.[3]

Operation Cleaver was a covert cyberwarfare operation carried out by the Iranian government against targets around the world, specifically critical infrastructure entities.

In May 2016, Cylance announced a new collaboration with MOTEX, an Osaka-based firm, to integrate MOTEX LanScope, an endpoint security management, and CylancePROTECT, Cylance's leading product, which actively detects and prevents malware.

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