AI News, How A.I. will change your world in 2019, for better or worse artificial intelligence

In 2019, despite everything, the UK's AI strategy will bear fruit

In March 2017, Jerome Pesenti, now at Facebook, and I were asked by the UK government to review ways the UK could build its own artificial intelligence strategy.

One of the council’s first actions in collaboration with UKRI will be to establish up to 20 AI Centres of Doctoral Training in UK universities, which will commence in October 2019 Like so many other countries, the UK has an AI skills gap that we will need to close if we want to remain at the forefront of AI innovation.

We may well have to think about radical new ways to increase the gender balance in AI as approaches to increase gender diversity in computing over the last 30 years have not proved effective at scale.

It has also adopted a specific mission to develop AI that will “transform the prevention, early diagnosis and treatment of chronic diseases by 2030” set by the prime minister earlier this year.

The OAI will be establishing data trust case studies – yet to be picked – to develop examples of good practice that others can copy These implementations will start to take effect in 2019, although it will be many years before we can really evaluate the impact government intervention will have on the UK’s role in the development of AI.

From ethics to accountability, this is how AI will suck less in 2019

If 2018 brought artificial intelligence systems into our homes, 2019 will be the year we think about their place in our lives.

“I’m interested to see if the difficult year Facebook has had leads to any kind of cultural change or initiative – I think Facebook’s problems could be the early signs of a gradual change in the way we think about technology, and I hope that continues,” says Jamie Susskind, author of Future Politics and former fellow of Harvard University's Berkman Centre for Internet and Society.

More radically, it means that we should have a hand in shaping or customising them so we don’t have to rely on the morality or wisdom of tech firms alone.” Initiatives like Oxford University’s Future of Humanity Institute and DeepMind’s Ethics and Society project are bringing together specialists in technology and the humanities to try to foresee, and mitigate, the social costs of AI – as well as steering research and investment towards projects that benefit society.

In 2019, “governments as well as private industry should stop trying to come up with short statements of vague, high-level principles like, ‘AI should be used for good’ and make a start on the more difficult task of working out more detailed rules and regulations,” he says.

“Their signal is an abnormal network of connections between individuals, accounts, email addresses, residences, and so on.” In 2019, crime fighting AI will shift to spotting criminals, based on human networks evolving over time, rather than trying to spot one-off crimes.

Systems that make predictions but can’t explain them are risky in several ways: a decision is based on some discriminatory feature like race or gender can be damaging for society, while a decision that is influenced by an easily-faked bit of data is extremely brittle.

“If you’re trying to identify terrorist suspects for example, and an explanation shows that the underlying model is relying on an individual's age then the model might be vulnerable, since it is easy to lie about one's age.” Akoglu and Ribeiro see explainable AI as a new tool in its own right, helping people and machines work together.

“There are many areas where the human-AI team is potentially more effective than either one taken separately.” “Physics-driven climate simulation models have generated more [data] than all satellite measurements of Earth's weather,” says professor Claire Monteleoni from the department of computer science at University of Colorado Boulder, who is using smart simulations to help predict and mitigate extreme climate events.

“These data-driven technologies are actually the most cost-effective way to unlock insights from the massive amounts of both simulated and observed data that have already been collected.” Monteleoni runs hackathons to encourage young people to enter the field of climate data science.

“As researchers and educators in the fields of AI and machine learning, we should strive to expose students to diverse application areas that address major challenges, not only in the field of climate, but also in other areas of societal benefit, such as sustainability, agriculture, health, education, fairness, diversity, and inclusion.” As populations urbanise, and food and water security continue to be major concerns, machine learning will help us make the most of the land we have.

“Our hope is that by the end of 2019 we will have used machine learning techniques to bring earth observation data into our understanding of how land use can be changed in ways which allow policymakers to make decisions which are good for farmers, good for society and good for the environment.” The application of machine learning to medicine is helping to diagnose illnesses earlier, unlocking promising new avenues for treatment, or helping ensure that patients take the medication they’ve been prescribed.

In a study of nearly 500 hours of clinical time in a busy emergency department, 43 per cent of of time was spent on data entry, compared to only 28 per cent with patients.

Top artificial intelligence achievements for 2018 - and predictions for 2019

While today’s AI is typically focused on solving specific problems, AI will evolve significantly to learn more generally and become even more versatile.

With more than 3,000 researchers in 12 labs located across six continents, IBM Research is one of the world’s largest and most influential corporate research labs.

IBM Research works to advance the field through an extensive portfolio of research focused on three areas: towards human-level intelligence, platform for business, and hardware and the physics of AI.

How artificial intelligence will change your world in 2019, for better or worse

From a science fiction dream to a critical part of our everyday lives, artificial intelligence is everywhere. You probably don't see AI at work, and that's by design.

artificial intelligence will change your world in 2019

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