Besides the inverted initialism, what does international arbitration ("IA") and artificial intelligence ("AI") have in common? Sure, both IA and AI are leading alternatives to the status quo: IA to traditional dispute resolution, AI to traditional methods of production.

We are all familiar with the major themes of the day: China's continued rise; the shifting of trading relationships following political changes in the United States and Europe; and technology's encroachment upon nearly every industry, from finance to medicine to marketing. So, what technological advances in the recruitment industry can we expect in 2018? How will companies like DaXtra help recruiters and candidates navigate the labour market in today's rapidly evolving digital economy? Given that this is intended to be a digestible summary of the year ahead, let me break the discussion down into three, easily identifiable topic categories: (1) technological innovation, (2) demographics and (3) regulation. On the innovation side we can expect a deeper commitment to improve recruitment technology – or, RecTech – AI, especially in the area of matching technology and big data analysis for a range of Asian languages.

We address the problem of algorithmic fairness: ensuring that sensitive variables do not unfairly influence the outcome of a classifier. We present an approach based on empirical risk minimization, which incorporates a fairness constraint into the learning problem. It encourages the conditional risk of the learned classifier to be approximately constant with respect to the sensitive variable. We derive both risk and fairness bounds that support the statistical consistency of our approach. We specify our approach to kernel methods and observe that the fairness requirement implies an orthogonality constraint which can be easily added to these methods. We further observe that for linear models the constraint translates into a simple data preprocessing step. Experiments indicate that the method is empirically effective and performs favorably against state-of-the-art approaches.

Businesses in a wide range of industry sectors are pursuing AI strategies. The Artificial Intelligence microsite includes contributions from our global team of experts, and provides in-depth perspectives on the complex ethical and related legal risks that must be managed by businesses developing, acquiring or implementing AI - across a number of industry sectors. A decision to adopt AI can raise fundamental ethical and moral issues for society. These complex issues are of vital importance to our future, but they are not typically the domain of lawyers.

An image of a dog created by a deep convolutional generative adversarial network (GAN) algorithm. Back in 1999, Hany Farid was finishing his postdoctoral work at the Massachusetts Institute of Technology (MIT) and was in a library when he stumbled on a book called The Federal Rules of Evidence. The book caught his eye, and Farid opened to a random page, on which was a section entitled "Introducing Photos into a Court of Law as Evidence." Since he was interested in photography, Farid wondered what those rules were. While Farid was not surprised to learn that a 35mm negative is considered admissible as evidence, he was surprised when he read that then-new digital media would be treated the same way.

This undated handout photo issued by Counter Terrorism Policing North East shows Sudanese asylum seeker Munir Mohammed. A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com On Thursday, Feb. 22, 2018, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

A number of this week's milestones in the history of technology demonstrate society's reactions to new technologies over the years: A discussion of AI replacing and augmenting human intelligence, a warning about the abundance of misinformation on the internet, and government regulation of a mass communication platform, suppressing free speech in the name of the public interest.

LONDON – A man and woman who met on a Muslim dating website have been handed prison sentences for plotting an Islamic State-inspired bomb attack in Britain. Prosecutors say Munir Mohammed, an asylum-seeker from Sudan, and London pharmacist Rowaida El-Hassan met on SingleMuslim.com Last month, a jury at London's Central Criminal Court found them guilty of preparing terrorist acts. On Thursday, judge Michael Topolski sentenced 37-year-old Mohammed to life with no chance of parole for 14 years. El-Hassan, who is 32, was jailed for 12 years, plus five years on probation.

In July 2009, deadly riots broke out in Urumqi, the capital of Xinjiang, China. Nearly 200 people died, the majority ethnic Han Chinese, and thousands of Chinese troops were brought in to quell the riots. An information battle soon followed, as mobile phone and internet service was cut off in the entire province. For the next 10 months, web access would be almost non-existent in Xinjiang, a vast region larger than Texas with a population of over 20 million. It was one of the most widespread, longest internet shutdowns ever.

We've seen glimmers of this potential emerge in recent years. Mobile assistants get smarter all the time, from telling us when we need to leave for an appointment to encouraging us to take a walk if we've been sitting too long. Machine learning is speeding up deliveries and helping doctors diagnose diseases. Smart algorithms are stopping cybercriminals. Much of it would have been unimaginable ten years ago.