People around the world have very different perspectives on how AI will affect our future. To many people, it seems like a threat that looms over us in the future. In sci-fi movies, it's quite common to see rogue AI's turning against humanity. Is something similar to Skynet (as seen in the Terminator movies) really waiting for us in the future?
Elon Musk has famously called AI "humanity's biggest existential threat", and compared it to "summoning the demon". He believes that AI will get smarter than humans, to a relative intelligence ratio that is similar to that between a human and a cat. Many other researchers and industry experts have also voiced their concerns about the potential dangers of AI. Stephen Hawking has also shared the same sentiment with Musk, back in 2014 he said that "the development of full artificial intelligence could spell the end of the human race."
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Job automation is generally viewed as the most immediate concern. It's very common to hear that AI and robots will be taking all of our jobs in the future. Even though some people and countries are against such notions, it's rooted in truth, use of AI in the workplace is expected to result in the elimination of a large number of jobs. Though AI is also expected to create and make better jobs, education and training will have a crucial role in preventing long-term unemployment and ensure a skilled workforce.
A two-year study from McKinsey Global Institute suggests that by 2030, intelligent agents and robots could replace as much as 30 percent of all current human labor. If these predictions come to pass, automation might displace between 400 and 800 million jobs by 2030. Looking at the listed numbers, make all the fears and concerns very understandable. You should now go through the full research done by the McKinsey Global Institute here .
While job loss may be the most pressing AI-related risk as of now, it’s merely one among many potential risks. Malicious use of AI could prove to be a large threat to digital- and physical security. In this area, AI can be a double-edged sword, because it's also very effective at preventing security risks. Speed is where AI excels the most by surpassing the human capacity to detect and mitigate threats.
The downside of using AI for security is that it can be manipulated more easily. Hackers are embracing the machine learning algorithms behind the technology’s success to create specialized attacks towards specific individuals. Because AI can be taught with data sets, hackers can either create their own programs or manipulate existing systems for malicious purposes. Attacks executed with AI tend to be more successful because the technology makes it easier to develop malware with the ability to evade even sophisticated threat detection.
AI has also created real-seeming social media “personalities” that are very difficult to differentiate from real ones. Deployed cheaply and at scale on Twitter, Facebook or Instagram, they can be used to deceive people online. Differentiating real people from AI is only going to get more difficult as time goes by, and they may become more common.
Falsified videos created by AI - in particular, by deep neural networks, are a recent twist to the problem of online disinformation. AI-generated fake videos first caught the public's attention in late 2017 when a Reddit account with the name Deepfakes posted videos generated with a DNN-based face-swapping algorithm. Subsequently, the term deepfake has been used more broadly to refer to all types of AI-generated impersonating videos. This technology is now easily and widely available, and while there are interesting and creative applications of deepfakes, they are also likely to be weaponized.
The following Ted talk by Janelle Shane goes over potential dangers and problems that you may encounter when using AI for certain tasks. This video showcases quite well how AI's are still quite flawed in their current stage, and how they can make strange choices when they haven't been instructed accurately enough.
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