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First Steps Towards an Ethics of Robots and Artificial Intelligence


This article offers an overview of the main first-order ethical questions raised by robots and Artificial Intelligence (RAIs) under five broad rubrics: functionality, inherent significance, rights and responsibilities, side-effects, and threats. The

Amazon signs deal with British spy agencies to boost use of AI for espionage -FT


Oct 25 (Reuters) - Britain's spy agencies have given a contract to Amazon Web Services (AWS) to host classified material in a deal aimed at boosting the use of data analytics and artificial intelligence (AI) for espionage, the Financial Times reported on Monday. Britain's GCHQ spy agency championed the procurement of a high-security cloud system and it will be used by sister services MI5 and MI6, as well as other government departments such as the Ministry of Defence during joint operations, the report added. The agreement was signed this year with AWS, Inc's (AMZN.O) cloud service unit, and the data of all the agencies will be held in Britain, the newspaper reported, citing people familiar with the discussions. GCHQ said it would not comment on reports about its relationships with tech suppliers.

Amazon to host classified material for MI5, MI6 and GCHQ

The Guardian

The UK's spy agencies have reportedly given a contract to Amazon Web Services (AWS) to host classified material in a deal aimed at boosting the use of data analytics and artificial intelligence for espionage. The Financial Times reported that the UK's signals agency GCHQ had supported the procurement of a high-security cloud system, which would be used by its sister services, MI5 and MI6. Other government departments, such as the Ministry of Defence, would also use the system during joint operations, it was claimed. The agreement was signed this year with AWS,'s Any contract with Amazon is likely to ignite concerns over sovereignty because the UK's most secret data will be hosted by a single US tech company.

Where We Are on AI Inventorship and Where We Should be Heading


"It is likely a matter of time until an AI will be able to simulate human thought, think creatively, and independently identify and solve problems…. If current laws remain unchanged…the owner of the AI-generated IP can and likely will attempt to protect AI-based inventions as trade secrets to the extent possible." The past few years saw a meteoric rise of artificial intelligence (AI) products, services, and applications. AI has evolved from merely a buzzword or a cool new idea to a substantively used tool in a variety of applications, including autonomous driving, natural language processing, drug development, finance and cybersecurity among others. Companies, universities, and inventors world-wide noted the importance of AI and began seeking to patent various aspects of AI technology.

Artificial Intelligence Systems Learn to Teach Each Other


WASHINGTON, DC, October 4, 2021 (ENS) – A new international project is creating advanced artificial intelligence, AI, programs that will enable machines to learn progressively over a lifetime and share those experiences with each other. Uses of this new technology could include co-operating self-learning autonomous vehicles such as self-driving cars, robotic rescue and exploration systems, distributed monitoring systems to detect emergencies, or cybersecurity systems of agents that monitor large networks. Researchers hope the technology will allow machines to reuse information, adapt quickly to new conditions and collaborate by sharing information. The project is part of the initiative Shared-Experience Lifelong Learning, or ShELL, a program funded by the Defense Advanced Research Projects Agency, DARPA. This U.S. government military agency is credited with some of the biggest technological advances in recent history such as the Internet, the miniaturization of GPS, Siri, and the computer mouse.

Royal Air Force is testing self-driving cars in Oxfordshire

Daily Mail - Science & tech

The Royal Air Force is testing its own autonomous vehicle to deliver supplies around a base in Oxfordshire to'free up personnel from mundane tasks'. Its specially-designed self-driving car, called Kar-Go, is a zero-emissions delivery vehicle capable of travelling at speeds of up to 60 miles/hour. It's been zipping around the Royal Air Force base of Brize Norton in Oxfordshire, delivering tools, equipment and supplies to personnel as part of a trial. When arriving at its destination on the base, RAF personnel meet Kar-Go and a hatch is automatically released enabling them to collect the cargo. Slightly odd in appearance, Kar-Go looks a bit like a gigantic green computer mouse with protruding wheels, complete with flashing lights and a spacious boot.

Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety Artificial Intelligence

Driving is an intuitive task that requires skills, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans focusing on the entire task for prolonged periods, and sophisticated negotiation skills with other road users, including wild animals. These requirements are particularly important when approaching intersections, overtaking, giving way, merging, turning and while adhering to the vast body of road rules. Modern motor vehicles now include an array of smart assistive and autonomous driving systems capable of subsuming some, most, or in limited cases, all of the driving task. The UK Department of Transport's response to the Safe Use of Automated Lane Keeping System consultation proposes that these systems are tested for compliance with relevant traffic rules. Building these smart automotive systems requires software developers with highly technical software engineering skills, and now a lawyer's in-depth knowledge of traffic legislation as well. These skills are required to ensure the systems are able to safely perform their tasks while being observant of the law. This paper presents an approach for deconstructing the complicated legalese of traffic law and representing its requirements and flow. The approach (de)constructs road rules in legal terminology and specifies them in structured English logic that is expressed as Boolean logic for automation and Lawmaps for visualisation. We demonstrate an example using these tools leading to the construction and validation of a Bayesian Network model. We strongly believe these tools to be approachable by programmers and the general public, and capable of use in developing Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.

10 homegrown AI companies building foundations for future growth of UK economy - UKTN (UK Tech News)


Artificial intelligence (AI) is transforming the way we live, work, travel, and do business. The expertise of British AI companies, some of the world's most innovative, contributes significantly to this increase in global economic growth and productivity. Recently, Tech Nation, the leading growth platform for UK tech companies, released data on the growth of the AI tech ecosystem in the UK. According to this new data, the UK is now home to over 1,300 AI companies, up from 180 companies in 2011, representing a 600% increase. AI companies are scaling across all regions of the UK, with 50% of the top scaling AI companies being outside of London with Cambridge and Edinburgh being major hubs. Furthermore, Venture Capital investment into UK AI companies also rocketed from $120 million in 2010 to $3.4 billion in 2020.

A brief history of AI: how to prevent another winter (a critical review) Artificial Intelligence

The field of artificial intelligence (AI), regarded as one of the most enigmatic areas of science, has witnessed exponential growth in the past decade including a remarkably wide array of applications, having already impacted our everyday lives. Advances in computing power and the design of sophisticated AI algorithms have enabled computers to outperform humans in a variety of tasks, especially in the areas of computer vision and speech recognition. Yet, AI's path has never been smooth, having essentially fallen apart twice in its lifetime ('winters' of AI), both after periods of popular success ('summers' of AI). We provide a brief rundown of AI's evolution over the course of decades, highlighting its crucial moments and major turning points from inception to the present. In doing so, we attempt to learn, anticipate the future, and discuss what steps may be taken to prevent another 'winter'.

UK to overhaul privacy rules in post-Brexit departure from GDPR

The Guardian

Britain will attempt to move away from European data protection regulations as it overhauls its privacy rules after Brexit, the government has announced. The freedom to chart its own course could lead to an end to irritating cookie popups and consent requests online, said the culture secretary, Oliver Dowden, as he called for rules based on "common sense, not box-ticking". But any changes will be constrained by the need to offer a new regime that the EU deems adequate, otherwise data transfers between the UK and EU could be frozen. A new information commissioner will be put in charge of overseeing the transformation. John Edwards, currently the privacy commissioner of New Zealand, has been named as the government's preferred candidate to replace Elizabeth Denham, whose term in office will end on 31 October after a three-month extension.