The European Union's executive body, the EC, has taken a first pass at drawing up a strategy to respond to the myriad socio-economic challenges around artificial intelligence technology -- including setting out steps intended to boost investment, support education and training, and draw up an ethical and legal framework for steering AI developments by the end of the year. It says it's hoping to be able to announce a "coordinated plan on AI" by the end of 2018, working with the bloc's 28 Member States to get there. "The main aim is to maximise the impact of investment at the EU and national levels, encourage cooperation across the EU, exchange best practices, and define the way forward together, so as to ensure the EU's global competitiveness in this sector," writes the Commission, noting it will also continue to invest in initiatives it views as "key" for AI (specifically name-checking the development of components, systems and chipsets designed to run AI operations; high-performance computers; projects related to quantum technologies; and ongoing work to map the human brain). Commenting on the strategy in a statement, the EC VP for the Digital Single Market Andrus Ansip said: "Without data, we will not make the most of artificial intelligence, high-performance computing and other technological advances. These technologies can help us to improve healthcare and education, transport networks and make energy savings: this is what the smart use of data is all about.
The Commission is proposing a three-pronged approach to increase public and private investment in AI, prepare for socio-economic changes, and ensure an appropriate ethical and legal framework. This follows European leaders' call for a European approach on AI. Vice-President for the Digital Single Market Andrus Ansip said: "Just as the steam engine and electricity did in the past, AI is transforming our world. It presents new challenges that Europe should meet together in order for AI to succeed and work for everyone. We need to invest at least €20 billion by the end of 2020.
Victor Schwartz is a partner in the Washington, D.C. office of the Kansas City-based law firm of Shook, Hardy & Bacon L.L.P. He chairs the firm's Public Policy Group, which seeks to be the vanguard of developing public policy issues that will help improve the civil justice system. Mr. Schwartz has been an advisor for each of the American Law Institute's (ALI) Restatement (Third) of Torts projects: Products Liability, Apportionment of Liability, and Liability for Physical and Emotional Harm. He is a life member of the ALI. Prior to entering the full time practice of law, Mr. Schwartz was a professor and dean at the University of Cincinnati College of Law.
A recent issue of a popular computing journal asked which laws would apply if a self-driving car killed a pedestrian. This paper considers the question of legal liability for artificially intelligent computer systems. It discusses whether criminal liability could ever apply; to whom it might apply; and, under civil law, whether an AI program is a product that is subject to product design legislation or a service to which the tort of negligence applies. The issue of sales warranties is also considered. A discussion of some of the practical limitations that AI systems are subject to is also included.
Greta Cutulenco, Co-founder and CEO says, "Vehicles are becoming more complex - both mechanically and electronically. This rise in complexity creates a strain on testing processes, which gives rise to quality issues, and eventually a spike in warranty claims and recalls. Acerta offers a SaaS platform that uses machine learning to provide real-time malfunction detection and failure prediction. The platform learns the normal behaviour of the tested system and the complex correlations between data streams, and automatically detects anomalies in real-time. This enables manufacturers to utilise all of the data they collect to produce accurate insight into their system quality."
In July 2015, Google's public-relations machine was in full-on crisis mode. Earlier that year, the search giant announced Photos, an AI-driven app that used machine-learning to automatically tag and organize your pictures based on the people, places and things depicted in them. It was an exciting step forward, but Photos wasn't perfect.
A California-based startup called Instrumental developed an intelligent AI inspection system to help manufactures identify product defects on the assembly line. The California-based startup, founded by two form Apple engineers have raised over $10 million to make it easier to manufacture electronics and head off complicated problems before they start costing companies thousands of dollars a minute. Their customers, including Fortune 500 companies, have used the system to virtually disassemble 16,000 units and to take over 40,000 measurements, all remotely. Instrumental makes a hardware box that goes on the assembly line and takes a photo of every device that passes through and they recently announced their deep learning software called Detect which highlights units that appear defective or anomalous, giving our customers a significant edge in discovering and resolving product issues. Using TITAN X GPUs and cuDNN with the TensorFlow deep learning framework, they are able to process hundreds of units in seconds and identify the most interesting units to review.
Zurich Insurance is deploying artificial intelligence in deciding personal injury claims after trials cut the processing time from an hour to just seconds, its chairman said. "We recently introduced AI claims handling … and saved 40,000 work hours, while speeding up the claim processing time to five seconds," Tom de Swaan told Reuters, after the insurer started using machines in March to review paperwork, such as medical reports. "We absolutely plan to expand the use of this type of AI (artificial intelligence)," he said. Insurers are racing to hone the benefits of technological advancements such as big data and AI as tech-driven startups, like Lemonade Inc., enter the market. Lemonade promises renters and homeowners insurance in as little as 90 seconds and payment of claims in three minutes with the help of artificial intelligence bots that set up policies and process claims.