The Commission presents today next steps for building trust in artificial intelligence by taking forward the work of the High-Level Expert Group.
Building on the work of the group of independent experts appointed in June 2018, the Commission is today launching a pilot phase to ensure that the ethical guidelines for Artificial Intelligence (AI) development and use can be implemented in practice. The Commission invites industry, research institutes and public authorities to test the detailed assessment list drafted by the High-Level Expert Group, which complements the guidelines.
Today’s plans are a deliverable under the AI strategy of April 2018, which aims at increasing public and private investments to at least €20 billion annually over the next decade, making more data available, fostering talent and ensuring trust.
Vice-President for the Digital Single Market Andrus Ansip said: “I welcome the work undertaken by our independent experts. The ethical dimension of AI is not a luxury feature or an add-on. It is only with trust that our society can fully benefit from technologies. Ethical AI is a win-win proposition that can become a competitive advantage for Europe: being a leader of human-centric AI that people can trust.”
Commissioner for Digital Economy and Society Mariya Gabriel added: “Today, we are taking an important step towards ethical and secure AI in the EU. We now have a solid foundation based on EU values and following an extensive and constructive engagement from many stakeholders including businesses, academia and civil society. We will now put these requirements to practice and at the same time foster an international discussion on human-centric AI.“
Artificial Intelligence (AI) can benefit a wide-range of sectors, such as healthcare, energy consumption, cars safety, farming, climate change and financial risk management. AI can also help to detect fraud and cybersecurity threats, and enables law enforcement authorities to fight crime more efficiently. However, AI also brings new challenges for the future of work, and raises legal and ethical questions.
The Commission is taking a three-step approach: setting-out the key requirements for trustworthy AI, launching a large scale pilot phase for feedback from stakeholders, and working on international consensus building for human-centric AI.
1.Seven essentials for achieving trustworthy AI
Trustworthy AI should respect all applicable laws and regulations, as well as a series of requirements; specific assessment lists aim to help verify the application of each of the key requirements:
- Human agency and oversight: AI systems should enable equitable societies by supporting human agency and fundamental rights, and not decrease, limit or misguide human autonomy.
- Robustness and safety: Trustworthy AI requires algorithms to be secure, reliable and robust enough to deal with errors or inconsistencies during all life cycle phases of AI systems.
- Privacy and data governance: Citizens should have full control over their own data, while data concerning them will not be used to harm or discriminate against them.
- Transparency: The traceability of AI systems should be ensured.
- Diversity, non-discrimination and fairness: AI systems should consider the whole range of human abilities, skills and requirements, and ensure accessibility.
- Societal and environmental well-being: AI systems should be used to enhance positive social change and enhance sustainability and ecological responsibility.
- Accountability: Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes.
2. Large-scale pilot with partners
In summer 2019, the Commission will launch a pilot phase involving a wide range of stakeholders. Already today, companies, public administrations and organisations can sign up to the European AI Alliance and receive a notification when the pilot starts. In addition, members of the AI high-level expert group will help present and explain the guidelines to relevant stakeholders in Member States.
3. Building international consensus for human-centric AI
The Commission wants to bring this approach to AI ethics to the global stage because technologies, data and algorithms know no borders. To this end, the Commission will strengthen cooperation with like-minded partners such as Japan, Canada or Singapore and continue to play an active role in international discussions and initiatives including the G7 and G20. The pilot phase will also involve companies from other countries and international organisations.
Members of the AI expert group will present their work in detail during the third Digital Day in Brussels on 9 April. Following the pilot phase, in early 2020, the AI expert group will review the assessment lists for the key requirements, building on the feedback received. Building on this review, the Commission will evaluate the outcome and propose any next steps.
Furthermore, to ensure the ethical development of AI, the Commission will by the autumn 2019: launch a set of networks of AI research excellence centres; begin setting up networks of digital innovation hubs; and together with Member States and stakeholders, start discussions to develop and implement a model for data sharing and making best use of common data spaces.
YAO Network: The Blockchain Paradise Developers Have Been Waiting For
Permissioned blockchain? Private blockchain? Public blockchain? Fret not for YAO Network accepts them all. YAO Network is a cloud service paradise for new blockchain projects looking for a community to nestle in and make their homes there. By integrating cloud computation with decentralized computation, the YAO Network is able to support computation eco-platforms of multiple blockchain networks, maximizing the utility of all participants while helping projects to achieve their technological targets and generate value.
The YAO Network was built for a vision: to benefit developers and to help enterprises achieve much more, freeing the successes of blockchain technologies for all to enjoy. This vision grounds the design of YAO Network’s architecture as the platform seeks to establish a comprehensive service and utility computation platform where Pareto optimality is achieved amongst developers, enterprises, and overall public utility.
Like many other blockchain platforms out there, technology remains a key factor in determining a platform’s functionality. The YAO Network certainly has a strong pillar of support in its robust technical infrastructure to achieve its goals.
1. YAO Network integrates multiple computation paradigms in utility computation.
The YAO Network platform effectively combines three computational paradigms, cloud computing, decentralized computing and encrypted computing, to meet the demands of different applications and create maximum computation utility.
Cloud computation has been gaining massive popularity as a computational model in many enterprises and the public. The advantages of cloud computation are numerous. It saves cost for enterprises, developers and the public while offering flexible workload deployments, which enhances the overall utility of both individuals and society.
Recognizing the advantages of cloud computation, the YAO Network platform makes cloud computing the only carrier of all service and computation units in the blockchain. Cloud computing is not only utilized for deployments and encrypted computation of centralized applications, but also widely applied in decentralized blockchain networks.
2. YAO Network standardizes decentralized and centralized computation units based on cloud computation.
Different computation units have been designed for various types of applications to promote the usage of blockchains in the public domain. YaoLet is the solution designed by the YAO Network for decentralized applications, while BuildPack is its equivalent for centralized applications designed based on PaaS. The entire architecture is rested on these two solutions alongside other services. As YaoLet and BuildPack are both multiplexed; developers and service providers can participate in the sharing of YaoLet and BuildPack and reap the rewards through corresponding YAO Network reward system.
3. YAO Network allows softwares to define blockchain through topological orchestration and virtualization.
Most computations are no longer an isolated and individual computation unit; they have complex interconnections that are unified by a topological structure. This combination of computational units is achieved through topological orchestration.
On one hand, new services and components can be combined and orchestrated by existing computation units. On the other hand, various infranets in blockchains can also be orchestrated to establish corresponding nodes and services. Most blockchain architectures like YAO Network take on a modularized approach where interledger general blockchain protocols are made viable through plugging and unplugging every component and service as well as modularizing operations. The blockchain network becomes the virtual superposition of peer-to-peer networks, making it possible to define new blockchain network models and service models through virtual and abstract orchestrations.
4. YAO Network supports multiple blockchain network architectures and paradigms including public blockchains, permissioned blockchains and private blockchains.
The blockchain network within YAO Network supports three types of blockchains, namely public blockchain, permissioned blockchain and private blockchain. They can be broken down into shared and exclusive nodes based on the extent of its isolation. Enterprises and developers can build on shared blockchains or create their own exclusive blockchains on the YAO Network platform. Another alternative would be to classify the blockchain network based on its testnet and mainnet, and their applications.
5. YAO Network maximizes utility of developers, enterprises and the general public.
YAO Network is a one-stop blockchain service platform for blockchain service consumers, developers and enterprises to share innovations both in public and private. One of the biggest hurdles blockchain has yet to overcome is its low adoption rate and thus the YAO Network has provided blockchain PaaS services for developers to utilise and a platform where they can release their blockchain products directly to blockchain service providers. This forms a healthy supply and demand ecosystem as iterations of blockchain products are incubated or eliminated based on practicality and impact. Those that are proven viable will unite and form a larger blockchain ecosystem and platform.
Developers even earn the chance to make some profits through the YAO Network. The network rewards developers when their creations are utilised by others. In addition, the YAO Network has three specific function modules in terms of product modality: blockchain marketplace, enterprise aggregation and solutions, and developer community. This forms a trinity that works together to serve both developers and enterprises. Driven by supply, YAO Network solves the scarcity of blockchain comprehensive services by connecting and bridging between developers and enterprises, in order to establish a healthy and organic ecosystem where all participants have maximum utility within the system.
6. YAO Network has high inclusivity in the system.
A well-designed architecture should have open interfaces. Every layer delivers its own functions, and is connected to each other through the same cross layer interface. The YAO Network system is designed based on important principles including openness, security, technology neutrality, verifiability in the future, interoperability, scalability, modularization, manageability and dependability, to achieve inclusivity in the system.
YAO Network embraces existing and future blockchain applications and is committed to establishing a comprehensive computation platform with multiple blockchains, multiple computational paradigms and integrated utilities.
SOURCE YAO Network
New Research Reveals SafelyYou’s AI-Enabled Fall Detection Reduces Need for Emergency Service Care in Dementia Care Facilities
Real-time fall detection using SafelyYou’s artificial intelligence-enabled video recording reduced the need for emergency services by a staggering 80% in dementia care facilities, according to research results published in the American Journal of Managed Care. The study closely examined the impact of SafelyYou’s memory care-focused technology to detect falls, videotape falls and notify care staff so that video review of the incident could occur immediately after each fall.
“According to the Alzheimer’s Association Report (2016), fall injury is the leading cause of Alzheimer dementia–related hospitalizations, with $5.3 billion in annual cost to Medicare,” said Glen Xiong, Advisory Board Member for SafelyYou. “In residential care facilities, individuals with dementia fall, on average, four times per year and twice as often as other residents. Falls often go unwitnessed. Due to uncertainty regarding the seriousness of each fall, facility staff frequently activate local emergency medical teams to examine the residents, and such visits often result in emergency department visits.”
The study, supported in part by a National Institutes of Health, National Institute of Aging Small Business Innovation Research Grant, was conducted with enrolled participants on June 1 to Aug. 31, 2018. Fall incidents and outcomes were routinely recorded for facility residents, and facility staff reviewed the falls in real time, immediately after each incident, for study participants.
Among 147 falls in the control group, 52 (35.4%) resulted in EMT visits and 36 (24.5%) resulted in ED visits. In contrast, the intervention group had 83 falls, with 13 (15.7%) and seven (8.3%) resulting in EMT and ED visits, respectively. There were relative reductions of 75% in EMT visits and 80% in ED visits.
The AI-enabled camera fall detection system coupled with staff review of fall videos led to more accurate identification of serious falls and incidents compared with less serious falls, such as when a resident intentionally moved to the ground but did not fall.
“Using emergency services less frequently leads to lowered healthcare costs and stress for everyone,” said George Netscher, CEO of SafelyYou. “Speaking with families and hearing the testimonials is really the very best part of our day.”
Metadata.io Emerges as MarTech Force with Rapid Company Growth and Leader Position in G2 Crowd Summer 2019 Momentum Grid® Report for Account-based Execution
Metadata.io (https://www.metadata.io/), the AI-powered account-based advertising platform for predictable B2B lead generation, today announced it is fast rising as a leader in the MarTech industry based on customer satisfaction. As a second-place Leader in G2 Crowd’s Summer 2019 Momentum Grid® Report for Account-based Execution, Metadata helps CMOs deliver a qualified pipeline to sales organizations by generating a predictable flow of inbound MQLS from within their target accounts.
Metadata customers like Nutanix, Nexmo and others have repeatedly won awards for best performing campaigns on LinkedIn and Facebook. They are among a growing list of early adopters that are achieving the industry’s top benchmarks in customer acquisition and ROAs using Metadata.
See the full Summer 2019 Momentum Grid Report here: http://bit.ly/2xGyaA5
“Our ranking is 100 percent attributed to our sophisticated customer base who bravely adopted early AI technology and achieved great ROI multiplier through automation and experimentation,” said Gil Allouche, CEO of Metadata. “Together, we are transforming marketing operations with AI. With Metadata, B2B marketers gain unprecedented ROI from digital investment, in a more predicted, measured fashion.”
“Our investment with Metadata empowered us to automatically target and convert sales-qualified leads that not only impacted revenue, but completely automated and simplified the execution of our account-based campaigns,” said Rob Bethell, Marketing Manager at RStudio.
For the quarterly Grid Momentum Report, G2 Crowd rates products based on reviews gathered from the user community, as well as data aggregated from online sources and social networks. The Momentum Grid for Account-based Execution is based on scores calculated using the G2 Satisfaction algorithm and G2 Momentum algorithm from reviews collected through May 29, 2019. In the Summer 2019 momentum report, Metadata showed strong growth in reviews, social and web.
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