Recommendation systems – the systems that help services from Amazon to Netflix suggest things you would might like based on your past choices – have a bias problem that is largely because the data comes from users who put their biases into action when interacting with streaming technology. To combat it, more than a decade ago, Netflix announced The Netflix Prize to attract scientists and programmers to write predictive algorithms with the goal of making the company’s recommendation engine 10% more accurate. The winning prize was $1 million. Team Belkor was the winner due to their inclusion of new factors that recognized a film’s popularity might change over time and that users have certain biases causing them to rate movies differently at different times. The frequency at which people rate movies was also added as a factor. Addressing bias issues to make recommendations better will continue to be a major goal for many in the tech world as it has since The Netflix Prize was awarded.
1Issues such as performance inhibiting gamer-score limits and the inability of players to buy and sell games easily were the least of the problems for Xbox One. What really annoyed users was that conversations at home were recorded and heard by Microsoft’s “quality control” people as revealed in a recent report from Motherboard.
A former contractor from Microsoft informed Motherboard that most of the recordings classified as “personal conversations” were inadvertent – like picking up unintentional Skype calls – and were triggered by players who had given inadvertent orders to Kinect, the voice command system of Microsoft’s Xbox One or Cortina, the voice assistant.
It’s not as if many people at the product’s launch hadn’t voice concerns about privacy. They had, but their concerns were allayed by claims that Kinect for Xbox 360 was designed and implemented with the best possible privacy checks. Blah, blah. A Microsoft spokesperson has responded to the issues raised since the release of Motherboard’s report, explaining that interception of audio recordings is no longer a necessary quality control step for the company. A few months ago, Microsoft stopped listening to Xbox One audio. Additionally, the company appears to be working on updated privacy policies to give users more control over how their personal information is stored.
For many years artificial intelligence wasn’t producing many breakthroughs. However, in recent times AI has finally produced major success stories. AI has already changed the world and its impact won’t slow down anytime soon. AI is set to dramatically transform the global economy and to disrupt lifestyles around the world. Here’s a short list of ten major changes that are expected to come soon because of the AI revolution.
1. Increased Economic Productivity
AI machines are better at certain skills than humans and can get certain tasks done faster. This means that the productivity of labor, business and entire countries is expected to increase with the AI revolution. Given the slow growth rates of major countries in recent years, this is good news.
2. Increased Unemployment and Declining Pay
Because AI is set to automate certain skills, companies are expected to increasingly automate many positions leaving many workers with less work, less pay or even full unemployment.
3. More Time for what Humans are Good At
AI is expected to give humans more time for what we are good at; social leadership and creative skills are not expected to be automated. AI should free up our time for these types of skills.
4. Higher Levels of Inequality
There are significant gaps between different nations, companies and industries when it comes to AI readiness. Companies are expected to make a lot more money while hiring and paying workers less. All of these factors are expected to increase economic inequality between individuals and between countries.
5. Increased Predictive Maintenance
AI is good at making predictions. This means that tasks like medical diagnostics will increasingly be done by AI, while doctors will have more time for human interactions with patients.
6. Increased AI Related Jobs
More jobs than ever before will be using AI. For many occupations, only certain tasks will be automated. So, if you’re trying to prepare for the coming years of career life, you should start working together with AI.
7. More Partially Automated Occupations
According to Mckinsey & Co. research, about 30 percent of activities in 60 percent of all occupations could be automated; in contrast, in 5 percent of occupations nearly all activities are automatable. This means that working hours might be fewer with remaining hours being spent collaborating with AI.
8. Increased Security
AI drones will increasingly help us deal with emergency situations by delivering care packages or emergency responses to those in need.
9. Better Healthcare
AI is already better than human doctors at diagnosing certain illnesses; this means that AI should set up humanity for a healthier future.
10. Routine Jobs and Data Maximization Jobs are expected to be Automated
AI is good at routine tasks with stable and predictable environments. It is also good at using data for maximizing results. Jobs involving these tasks are expected to be automated soon.
Hearing is one of the five senses which technology has successfully aided. Hearing aids are common and successful technologies. Eyeglasses designed to help people to see well have existed since the Middle Ages. Recently, an artificial tongue has been developed by the University of Glasgow. So far, our sense of smell has been harder to enhance. However, a tech start-up called Cyrano Sciences is commercializing an electronic nose designed not just to assist human noses but also to assist sniffer dogs who are used for security purposes.
A New Zealand wine dealer has partnered with an artificial intelligence company called Spacetime in order to match wine drinkers with wines they would probably love. American companies IBM and McCormick & Company are trying to use artificial intelligence to learn about people’s taste preferences. There are many philosophical questions about how these new technologies might best be used. One concern is that enhanced tasting experiences might addict people to the foods they already like and prevent them from trying new foods that they don’t currently like; oftentimes people learn to like foods that they used to not like through exposure.
A group of Chinese researchers at Tsinghua University recently created a chip that combines conventional artificial intelligence (AI) with an AI inspired by the human brain. The team claims this breakthrough could lead to a more naturalized AI. The researchers demonstrated the capabilities of the new chip in a video of a self-driving bicycle that stands-up, balances itself, avoids obstacles, tracks objects and reacts to voice commands. This breakthrough is happening in the context of a US-China technology competition and trade war. Last May, the US put Chinese telecommunications giant Huawei on a trade blacklist to prevent US companies from selling components that might be used to threaten US national security. China is behind in traditional chip making, but AI chip making presents a huge opportunity for China to advance in the technology race. For China, this puts them one step closer to realizing its goal of being the world leader in AI by 2030.