Cyberism In The Future Life Part - 2

10.Doing Your Homework

Not long ago, an A.I. managed to perform as well as most humans do on a standard math SAT. That means it had to read and understand the questions on its own, including the diagrams, showing that A.I. is beginning to be able to not just solve but define problems, and some basic solutions are already making their way to regular app stores. In schools of the future, it might not make sense to assign that sort of problem-based homework, at all.

9.Sports Stratergizing

The strategy of multi-player team sports is too complicated for A.I. — that was always the conventional wisdom. Yet now, even given the nearly infinite variability of human behavior and ingenuity on the field and rink, it seems that artificial intelligence could soon design all-new strategies for even the world’s best-studied sports. The beautiful game has been successfully broken down and understood, in its basic principles, by a machine learning algorithm, and according to the inventor of that algorithm, it should apply quite well to other “continuous” sports like basketball and hockey. A whole lot of teams are taking notice.

8.Global Propaganda

Distributed “botnets” designed to attack and harass over the internet are nothing new, but the autonomous propaganda efforts of actors all over the world are starting to truly come into their own. There’s even an A.I. company selling electoral “management” (read: manipulation) to the highest bidder. Its approach is to use A.I.’s power to crunch large volumes of data to design the most effective possible political campaigns. These days, that means setting A.I. to do careful political control of an individual or a party’s messaging, aka propaganda.

7.Border Security

Farming person-tracking out to A.I. is a no-brainer. Face recognition could take a huge proportion of the responsibility to stop incoming undesirables off of border agents, and could greatly reduce wait times at border crossings. The U.S. government is very interested in biometrics for border security, up to and including monitoring fenced stretches of border for illegal crossings. The Trump Administration has refused to embrace an A.I.-based “digital” wall with Mexico, which would track incursions with cameras rather than stopping them with concrete, but it’s notable that the proposition arose as a credible possibility, at all.

6.International Cyber Defense

One of Edward Snowden’s more shocking revelations was not that the NSA had begun using A.I. to augment its cyber-defenses (that should have been assumed), but that it was used its new A.I.-born capabilities to partially automate national security, and even counter-attacks. The MonsterMind platform can take automaticretaliatory action against the world’s many hackers, an ability that Snowden has called the worst thing he saw in his time at NSA. We don’t have any information about how effective MonsterMind and similar programs are at present, but we know they’ll play a major role in shaping global cyber-security in the future.

5.Corporate Cyber Defense

The novel Neuromancer predicted it: automated cyber defense intelligences. Everything in security in an arms race, and no matter how talented the security expert, their puny human finger-speed simply cannot hold a candle to the speedy attacks of an automated botnet. Over the next 10 years, and in fact over the next 10 months, we will see large proportions of cyber-security offloaded to automated techniques. As BlackRidge said at the opening of their recent study on the subject: Cyber defense automation is an imperative.

4.Translation and Linguistics

To an extent, real-time machine translation already exists from major tech companies like Skype and Microsoft. But other research bodies like Google and even DARPA are looking to take the idea even further. Machines can currently only even try to translate about 100 of the world’s more than 7000 languages — it seems certain is that whether it’s the military or international corporations or just regular old academia, someone is going to use A.I. to push real-time translation forward and let us all talk to everyone, very soon.

3.Financial Services

There’s a certain enjoyment in watching bankers get automated into unemployment, but the real win for the little guy will come when the A.I. really take over. Right now, the financial services sector has a lot to do with why the rich get richer — they can afford to hire more and better financial help to manage the money they have. With A.I., especially open source fintech solutions, it could be possible to change personal finance to put it on a much more even playing field.

2.Legal Advice

This makes a lot of sense: laws are supposed to be totally mechanical, so why couldn’t they be handled by a mechanical lawyer? The reality is that, for high-level lawyering, it’s precisely the ability to see around the rules that make a lawyer successful. Where A.I. could really change society, at a deep and fundamental level, is in providing half-decent defense to those who cannot afford adequate human representation. In many places, the public defense corps is an unmitigated disaster — but A.I. don’t get tired, or jaded, or immediately judgemental. They will provide an adequate legal defense to millions of people who currently do not receive one. Played out beyond the 10-year timeline, this could have some of the furthest-reaching implications of any entry on this list.

1.Medical diagnosis

Complementing a doctor’s human intuition with the precision and completeness of A.I. could be one of the greatest revolutions in healthcare since hand-washing. Listen to doctors think about the possibilities. The simple fact is that the human race has produced more overall understanding of human health than any one human brain can usefully contain, and A.I. are quickly starting to out-performeven the best human docs. Even faced with a totally binary decision between all-human and all-A.I. care, in 10 years time, how many people will be willing to opt for the better bedside manner?