In the medium to long term, AI expertise must not reside in only a small number of countries – or solely within narrow segments of the population. Governments worldwide must invest in developing and retaining home-grown talent and expertise in AI if their countries are to be independent of the dominant AI expertise that is now typically concentrated in the US and China. And they should work to ensure that engineering talent is nurtured across a broad base in order to mitigate inherent bias issues. Corporations, foundations and governments should allocate funding to develop and deploy AI systems with humanitarian goals. The humanitarian sector could derive significant benefit from such systems, which might for example decrease response times in emergencies.

Another buzz word in the IT industry is compliance, and it's only gaining traction and momentum. As of May 25, 2018, the General Data Protection Regulation (GDPR) went into effect in the EU, which focuses heavily on protecting the personal information of EU citizens. Organizations that store any information on EU citizens must go through steps to properly securing this data. While there is no "compliance" statement for an organization affected by GDPR, there is a lot of work that must be done between an MSP, legal counsel and the organization to prove necessary steps have been taken to protect this data, especially in the event of a data breach. If you have any questions, please reach out to us and we'll be happy to assist.

This is the second blogpost in a series on Artificial Intelligence and Human Rights, co-authored by: Christiaan van Veen (Center for Human Rights and Global Justice at NYU Law) & Corinne Cath (Oxford Internet Institute and Alan Turing Institute). Why are human rights relevant to the debate on Artificial Intelligence (AI)? That question was at the heart of a workshop at Data & Society on April 26 and 27 about'AI and Human Rights,' organized by Dr. Mark Latonero. The timely workshop brought together participants from key tech companies, civil society organizations, academia, government, and international organizations at a time when human rights have been peripheral in discussions on the societal impacts of AI systems. Many of those who are active in the field of AI may have doubts about the'added value' of the human rights framework to their work or are uncertain how addressing the human rights implications of AI is any different from work already being done on'AI and ethics'.

Most technologies are dual use: take the case of digital technologies that are fundamentally transforming governance, markets and development for the better. Yet the malicious use of these same technologies also poses serious challenges to global stability. In the current international climate, the potential for miscalculation and destabilization is real. Online crime is already costing the global economy hundreds of billions of dollars a year and appears to be worsening. Meanwhile, the race is on to dominate and in some cases weaponize frontier technologies – including artificial intelligence (AI) – with implications that will undoubtedly shape the future direction of humanity.

As you might expect, this year, many companies use artificial intelligence (AI) and machine learning at the core of their business to deliver innovative products and service offerings. Anyone interested in AI should know about these 14 pioneering businesses.# This London-based company was founded in 2013 and operates under two business units: BenevolentTech's focus is to develop the artificial intelligence platform that will drive innovation by transforming the way scientists access and use the information available to them. BenevolentBio is the division that applies the tech to generate new ideas that will impact human health such as better medicines and research, insights and innovation for rare diseases. With a mission to make law free and understandable, Casetext leverages artificial intelligence technology to help legal researchers find the most relevant cases quickly.

Chinese guests at Marriott International, the world's largest hotel chain, may soon be able to check in with a quick scan of their facial features. The chain will work in a joint venture with Chinese e-commerce giant Alibaba Group to test facial recognition check-ins at two China hotels this month, the firms said on Wednesday, with ambitions for a global rollout later. China is spearheading the use of facial recognition for everything from helping control major live events to ordering fast-food, but also bolstering a growing domestic surveillance system that has raised fears among human rights activists of privacy being invaded. The joint venture said the new technology would help guests jump queues and cut the check-in process to less than a minute, compared to at least three minutes at a normal counter. Chinese guests will need to scan their IDs, take a photo and input contact details on an automated machine, the firms said.

Wolfe Herd's app has expanded beyond dating, with features promoting female friendship and career networking.Jamel Toppin/Forbes Some users of Bumble, Whitney Wolfe Herd's dating app, are lucky enough to swipe right and find love, a new friend or a job opportunity. Wolfe Herd, though, may be the luckiest of all: The app, which Forbes values at $1 billion, has brought its 29-year-old founder a $230 million fortune. While Wolfe Herd missed the cut for this year's Forbes list of America's Richest Self-Made Women, Forbes predicts it won't be too long before she joins the ranks, assuming Bumble keeps growing at the rate it has. Bumble's biggest competitor is Tinder, founded in 2012 as one of the first "swiping" dating apps,using a customer's location to find matches. Wolfe Herd actually helped build what is now her adversary.

China is spearheading the use of facial recognition for everything from helping control major live events to ordering fast-food, but also bolstering a growing domestic surveillance system that has raised fears among human rights activists of privacy being invaded.

When I was a master's student at MIT, I worked on a number of different art projects that used facial analysis technology. One in particular--called The Aspire Mirror-- would detect my face in a mirror and then display a reflection of something different, based on what inspired me or what I wanted to empathize with. As I was working on it, I realized that the software I was using had a hard time detecting my face. But after I made one adjustment, the software no longer struggled: I put on a white mask. This disheartening moment brought to mind Franz Fanon's book Black Skin White Masks, which interrogates the complexities of changing oneself--putting on a mask to fit the norms or expectations of a dominant culture.

Babylon Healthcare Services Ltd., the fast-growing mobile medical consultation service, said its artificial intelligence software, in tests, can assess common conditions more accurately than human doctors. London-based Babylon said Wednesday its AI correctly answered 81 percent of diagnostic questions designed to mimic those trainee doctors must answer as part of the Royal College of General Practitioner's exam that must be passed to become a qualified GP doctor in the U.K. The exam is graded on a curve, but over the...