In this paper, we (1) argue that the international human rights framework provides the most promising set of standards for ensuring that AI systems are ethical in their design, development and deployment, and (2) sketch the basic contours of a comprehensive governance framework, which we call'human rights-centred design, deliberation and oversight', for ensuring that AI can be relied upon to operate in ways that will not violate human rights.
DeepMind and co-founder Mustafa Suleyman have decided to go their separate ways. Earlier this year there were disputed reports the two were arguing, some even suggested he'd been placed on leave. But now it seems he's actually left the UK-based enterprise. Can't wait to get going! More in Jan as I start the new job!
At the recently held 105th RSNA Scientific Assembly and Annual Meeting, International Business Machines Corporation IBM highlighted some of its clients and collaborations for its IBM Watson Health Imaging artificial intelligence (AI) platform. The IBM Watson Health unit is one of the leading platforms engaged in developing AI and data-driven technologies for augmenting healthcare services. The solutions are aimed to effectively respond to some of the most challenges scenarios in healthcare. About Watson Health Imaging's Collaborations At the RSNA event, the IBM Watson Health platform will be showcasing solutions across AI and Machine Learning, Enterprise Imaging, Vendor Neutral Archive, Image Viewing and Sharing as well as PACS. We note that on Oct 30, 2019, Clinical Review 3.0 was launched in the U.K. The solution identifies missed findings by analyzing medical imaging and related reports.
Consistent in their quest to spearhead innovative, groundbreaking events, Eventus International is hosting the first ever AI In Gaming 2020 summit in Dubai on 26 and 27 February at Crowne Plaza Dubai. Joining a lineup of top international industry experts, is Andrew Pearson, founder and MD of Intelligencia Limited, who will be speaking at AI In Gaming 2020. Andrew Pearson was born in Pakistan, grew up in Singapore and was educated in England and America. With a degree in psychology from UCLA, Pearson has had a varied career in IT, marketing, mobile technology, social media and entertainment.In 2011, Pearson relocated to Hong Kong to open Qualex Asia Limited, bringing its parent company's experience into the ASEAN region. Pearson is the Managing Director of Intelligencia Limited, a leading implementer of BI, CI, data warehousing, data modeling, predictive analytics, data visualisation, digital marketing, mobile, social media and cloud solutions for the gaming, finance, telco, hospitality and retail industries.
Some are starting to use facial expression technology alongside artificial intelligence to identify the best candidates in job interviews in the UK. Applicants get filmed by phone or laptop while asked a set of job-related questions. The AI technology is then used to analyze the response in terms of the language, tone and facial expressions of the applicant. AI algorithms choose the best candidate. It compares candidate performance in the video against some 25,000 pieces of facial and linguistic information that they compile from previous interviews.
Algorithms that combine Internet of Things (IoT) technologies and in-home sensory devices with machine learning techniques can be used to monitor the health and well-being of people with dementia, according to a study published online in PLOS ONE. Shirin Enshaeifar, PhD, from the University of Surrey in the United Kingdom, and colleagues introduced a systematic approach to provide more effective and preventive care for patients with dementia living at home. IoT technologies and in-home sensory devices were combined with machine learning techniques to monitor health and well-being. The researchers designed an algorithm to detect urinary tract infection (UTI), which represents one of the main causes of hospital admission in dementia patients. The algorithm was developed using a Non-negative Matrix Factorization technique, which extracted latent factors from raw observation and used them for clustering and identifying potential cases of UTI.
When the promising British artificial intelligence start-up DeepMind was bought by Google in 2014 for a reported £400m, the deal came with strict conditions meant to ease fears that its world-leading technology would be exploited by the US tech giant. The company would set up an independent ethics board to preside over its development of "artificial general intelligence", a system that mimics the way humans think. None of DeepMind's health data would be associated with Google accounts or services. And its leaders and headquarters would remain in London, where the company was founded. Critics say that those pledges have been eroded since then.
While some business owners are happy and excited about the prospect of artificial intelligence (AI) and how it could improve their operations, some are scared of it, some don't even know they're using it already, and some don't know how they could benefit from the emerging tech, at all. This is according to a new report from Esme Loans, which polled 250 business owners in the UK to understand how they perceive AI. As it turns out, 43 per cent don't understand how they could benefit from AI, while six in ten feel they've overlooked AI's potential. Three quarters (73 per cent) said they didn't use AI, but when presented with a long list of tools, 29 per cent said to have been using at least one. That means that these business owners have been using AI, unknowingly.
On Sunday, New South Wales began rolling out a system of cameras designed to detect drivers using their phones illegally. The goal: make the Australian state's roads safer. "Some people have not got the message about using their phones legally and safely," New South Wales Minister for Roads Andrew Constance said in a news release. "If they think they can continue to put the safety of themselves, their passengers, and the community at risk without consequence, they are in for a rude shock." The cameras snap photos of drivers and then use artificial intelligence to determine whether the driver was using a mobile phone illegally.
Lord Drayson seems a man on the move. As an amateur racing driver, it is perhaps an innate charateristic, and in the current debate around health data his foot is very much on the gas. I meet the former Labour government science and defence minister shortly after he lays out a bold new vision for the NHS at FutureScot's recent Digital Health & Care conference in Glasgow. Urbane and well-connected, Drayson is also a keen student of policy and how the arguments around big tech and health data are shaping up. For background, there is an intensifying argument that the NHS needs to make much more use of a still largely untapped goldmine of data, which could herald a new dawn in the way we diagnose, treat and manage disease – not to mention save billions of pounds annually.