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We Need to Get Smart About How Governments Use AI
One of the big misconceptions is that AI is a future technology, akin to humanoid robots that appear in television shows and movies.
That said, there is a vast gap between the complexity of AI processing needed for the complex geospatial functions performed by self-driving cars versus, say, the basic AI algorithms used for more routine tasks like filtering spam emails.
These algorithms can work more quickly and accurately than their human counterparts, allowing for rapid monitoring and identification of malignant cells But AI can also be channeled maliciously and destructively.
For one thing, AI’s surveillance capability offers startling new ways for authoritarian and illiberal states to monitor and control their citizens.
For example, in Xinjiang and Tibet, China is using AI-powered technology to combine multiple streams of information—including individual DNA samples, online chat history, social media posts, medical records, and bank account information—to observe every aspect of individuals’
These scores use big data derived from public records, private technology platforms, and a host of other sources to monitor, shape, and rate individuals’
Social media platforms use content curation algorithms to drive users toward certain articles, in order to influence their behavior (and keep users addicted to their social media feeds).
Emerging AI technology can also make it easier to push out automated, hyperpersonalized disinformation campaigns via social media—targeted at specific people or groups—much along the lines of Russian efforts to influence the 2016 U.S. election, or Saudi troll armies targeting dissidents such as recently murdered journalist Jamal Khashoggi.
In a hard-fought election, for example, an incumbent could spread doctored videos falsely showing opponents making inflammatory remarks or engaging in vile acts.
China wants to be the world leader in AI by 2030, and has committed to spending $150 billion to achieve global dominance in the field.
But the country’s ability to manufacture advanced computer chips—and tap the computing power they supply—lags behind U.S. capabilities.
And data increasingly makes all the difference when it comes to building AI companies that can outperform competitors, the reason being that large datasets help algorithms produce increasingly accurate results and predictions.
This would allow security officials to compare instantly live images captured by body-cameras with images stored in a central database.
A press release from the Ministry of Industry and Information Technology states that AI “will become a new impetus for advancing supply-side structural reforms, a new opportunity for rejuvenating the real economy, and a new engine for building China into both a manufacturing and cyber superpower.”
Scientists group AI applications into three categories of intelligence: weak (or narrow) artificial intelligence, artificial general intelligence, and artificial superintelligence.
This statistical process begins with a dataset and tries to derive a rule or procedure that can explain the data or predict future data.
As algorithmic models become more mathematically complex, it is increasingly difficult to follow the logic of how a machine reached a certain conclusion.
Systems powered by artificial general intelligence, on the other hand, refer to machines that are, as Tim Urban has written, “as smart as a human across the board—a machine that can perform any intellectual task that a human being can.”
Some optimists predict that artificial general intelligence may first emerge around 2030, when scientists can finally reverse-engineer the human brain for computer simulations.
Taking AI to the Humanities World
By Pragati Verma, Contributor When MIT’s new College of Computing starts in Fall 2019, it won’t just teach computer science students.
According to a recent research study by Dell Technologies that surveyed 12,000 students between ages 16 and 23, across 17 countries — 97 percent of Gen Z students agreed that technology literacy matters.
(More than half of those surveyed reported that technology was changing the world and “you have to understand it.”) If this research is any indication, Gen Z is hungry for AI education in a traditional academic setting, as well as in the real world.
At Carnegie Mellon, the BXA InterCollege degree program targets students interested in fields that meld technology and arts, such as game design, computer animation, computer music, recording technologies, and robotic art.
MIT seems to be doing exactly that kind of innovating with its new College of Computing, for instance, the way it is hiring for tenure positions: The school will offer 50 new faculty positions, half of which will be bridge positions — dual appointments between the new college and academic departments located in any one of MIT’s five schools.
The goal, Papelis explained, is not to drop the specializations that the university worked so hard to create — it is simply about accepting that everyone needs to study technologies like AI, no matter what their field of study or their future job aspirations.
For the students who don’t go on to become AI experts in the traditional sense, “they might not build deep learning models to recognize patterns, but they will be aware of what AI is, what it can do, and how to bring AI tools to their field,”
Five Technologies That Are Reshaping The Restaurant Industry For 2019
I believe 2019 will be a noteworthy year for food and technology.
According to PitchBook’s reported data findings, the past 10 years have seen a steady rise in funding for U.S.-based food tech companies.
My predictions for 2019 are based on technologies I have spent a significant amount of time studying as part of my role as chief marketing officer of a sustainably sourced burger chain.
I have found that restaurants and consumers alike are looking for alternative service systems to improve efficiency and lower monetary output.
Augmented Reality As we move deeper into the technological world, there are many kiosk alternatives (and I will discuss kiosks in a moment) that bring restaurant service efficiency to brand new heights.
Augmented reality technology creates an experience that, so far, we’ve probably only seen in movies (think the gesture-based user interface in Minority Report, but the screen is the table).
am seeing veganism become much more mainstream, not only due to ethical responsibility, but also to an increased awareness of the environmental effects of the meat industry.
There’s a startup in San Francisco, for example, that uses a heme-extraction process to create a 100% plant-based protein that looks, tastes and evenbleeds like meat.
The way I see it, meat alternatives often work for everyone’s diet, religion and beliefs, so there’s no reason not to offer them as options for your customers.
Some solutions are simple: Promote your own website, build commissary kitchens to cut labor and production cost, or boycott the apps.
Scott Boatwright, chiefrestaurant officer of Chipotle Mexican Grill, said it exactly right at this year’s Restaurant Leadership Conference: “The ground is shifting under our feet, and holding on to the past way we’ve run restaurants isn’t the way we are going to do business going forward.” As with anything else, we must change, adapt and grow in order to succeed.
- On 19. juni 2021
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