Massachusetts Institute of Technology will not just look to churn out single-discipline artificial intelligence graduates, but work to integrate machine learning into other fields — whether that’s history, politics, chemistry, or anything else. The college will equip students and researchers in any discipline to use computing and A.I. to advance their disciplines and vice-versa, as well as to think critically about the human impact of their work
Google has delivered further evidence that AI could become a valuable tool in detecting cancer. The company’s researchers have developed a deep learning tool that can spot metastatic (advanced) breast cancer with a greater accuracy than pathologists when looking at slides. The team trained its algorithm (Lymph Node Assistant, aka LYNA) to recognize the characteristics of tumors using two sets of pathological slides, giving it the ability to spot metastasis in a wide variety of conditions. The result was an AI system that could tell the difference between cancer and non-cancer slides 99 percent of the time, even when looking for extremely small metastases that humans might miss.
One thousand dollars is the new normal for smart phones in less than a year. Smartphones have replaced dozens, maybe hundreds of other single-function devices, from portable stereos to flashlights to TVs, and even personal computers. The average person has more computing power and more high-tech functionality in his or her pocket than even the wealthiest family had back in the day.
What can AI do for you: AI will also be capable of making energy much less expensive to produce and store. The average consumer already has access to hundreds of products capable of reducing the amount of energy they consume, including “smart” appliances like refrigerators, which can optimize and automate certain functions to keep energy costs low. Moreover, AI algorithms can make clean, renewable energy sources (like wind and solar) more efficient, ultimately reducing the cost of production, and the costs of producing and distributing food products.
AI has the power to greatly reduce the cost of insurance in all areas, including health insurance and auto insurance. Refined algorithms can more specifically calculate an individual’s risk factors, giving them the best possible rate for any policy. Plus, advanced algorithms can lower the risk of needing to file an insurance claim. For example, AI-powered self-driving cars have the potential to greatly reduce the risk of collisions, which in turn would make insurance dramatically cheaper for everyone, and advanced algorithms in the medical field can detect instances of cancer and other complex illnesses sooner, reducing the total costs associated with curing or treating those illnesses.
Soon, AI algorithms will be so sophisticated and tech companies will be so mature that the value of consumer data will be much higher, and the average consumer will provide more data with every digital interaction. At that point, tech companies may be interested in providing consumers with smartphones and other devices for free, with the intention of collecting enough data to counteract the costs of production and distribution.
Health care costs will likely remain high for the foreseeable future, but gradually, AI will gain the power to reduce those costs. Proactive screenings can be automated.
Will Jobs Be Necessary In The future?
A 2016 investigation by ProPublica found that an algorithm used in the U.S. to influence prison sentencing, was racially biased, predicting that black defendants pose a higher risk of repeating offences than they actually do.
While in office, U.S. Attorney General Eric Holder voiced concerns about these technologies to the U.S. Sentencing Commission, and making sure the use of aggregate data analysis won’t have unintended consequences.
According to experts, users should not assume that there will be algorithmic fairness and lack of bias in AI programming, especially when these algorithms are trained from human-created datasets.
Because AI algorithms are also designed to perceive patterns in human decision making, they can pick up the implicit biases of their creators.
The criminal justice system is not the only realm in which the implementation of these algorithms have backfired, creating tension between government agencies, technology companies, and directly affected citizens.
Twitter’s attempt at using artificial intelligence to engage with millennials in the U.S. in 2016 went awry after Tay, their verified Twitter chatbot, began spewing anti-semitic and racist comments at users.
Experts agree that A lack of laws exclusively designed to protect against discrimination in relation to big-data and machine learning is a problem. Researchers and computer scientists now face the challenge of creating cutting-edge technology that refrains from relying on decades-old trends of institutional biases and discrimination.
In banking, 70% of front-office jobs will be dislocated by AI, the researchers say: 485,000 tellers, 219,000 customer service representatives, and 174,000 loan interviewers and clerks. They will be replaced by chatbots, voice assistants and automated authentication and biometric technology.
And 96,000 financial managers and 13,000 compliance officers will be laid off as AI-based anti-money-laundering, anti-fraud, compliance and monitoring software fills in. Another 250,000 loan officers will lose their jobs to AI-based credit underwriting and smart contracts technology.
A few banks have introduced chatbots to do work that might otherwise be done by customer service people. Bank of America’s erica is one example. USAA’s Alexa skill is another.
There has also been some chatbot controversy and backlash. There was Microsoft’s Tay, which spewed racist nonsense to customers.
The shooting happened at a block of offices in Middleton, a suburb of Madison, Wisc., around 11:30EST Wednesday, with those struck by bullets rushed to hospital for treatment after. The gunman was shot dead by police. The gunman worked at an IT firm called WTS Paradigm based in the complex. He talked to an unnamed employee who saw one person shot in the shoulder. Four others are said to be receiving hospital treatment for their injuries. No word on why