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Artificial Intelligence

On April 21, 2021, the European Commission put forward the long-awaited Proposal for a Regulation on a European approach for Artificial Intelligence, introducing for the first time harmonized rules for the development, placement and use of secure and ethical artificial intelligence (AI) in Europe. The proposed regulation’s wide scope subjects providers, importers, distributors, and users of AI systems to regulatory scrutiny. It also includes providers and users outside of the European Union (EU) that deploy AI systems or use AI system outputs in the EU. With extraterritorial scope, the proposed regulation aims to further strengthen the EU’s leadership in shaping global standards and norms for new technologies. A European Path to Safe AI Following a risk-based approach, the proposed regulation classifies AI systems according to the level of danger they pose in the following categories: Unacceptable risk: AI poses unacceptable risk to systems or applications with the potential to manipulate human behavior and exploit vulnerabilities of groups of people to cause psychological or physical harm. Examples of prohibited AI systems include social-scoring systems and biometric identification that can be used by public authorities. High risk: The proposal identifies two main categories: AI systems used as safety components of products (or are a product themselves), and other stand-alone AI systems that have fundamental rights implications. Considering their intended purpose, the proposal identifies specific conformity assessment measures for both groups. AI systems intended to be used as security components will require a conformity assessment by an independent third party. Such systems will also be subject to the same ex-ante and ex-post compliance and enforcement mechanisms as products of which they are part. In contrast, stand-alone AI systems assessed through internal checks would require ex-ante compliance with all requirements of the regulation as well as with robust standards for quality and risk management and post-market monitoring. The proposed regulation identifies eight areas of high risk including AI systems in safety components of products (e.g., machinery, radio equipment, AI applications in robot-assisted surgery), critical infrastructures (e.g., transport), educational and vocational training (e.g., exam scoring) and employment (e.g., monitoring or evaluation of persons in work-related contractual relationships). Prior to their introduction to market, high-risk AI systems will be a subject to strict requirements including the use of high-quality datasets; adequate risk assessment and mitigation systems; high levels of robustness, accuracy, and security; clear and adequate user information; detailed system documentation and logging of activities to ensure traceability of results. Human oversight and control must be ensured. Low and Minimal risk: For limited-risk AI systems (e.g., chatbots), the regulation proposes only minimum transparency obligations, while minimal risk AI systems posing little to no risk (e.g., AI in spam filters) will not be regulated. Boosting AI Excellence from Lab to Market Continuous innovation of AI requires a secure environment that can support responsible validation of AI technologies. To that end, the proposal encourages the set-up of testing and experimentation facilities or so called AI regulatory sandboxes. Established by one or more Member States, the sandboxes will provide a controlled environment to test innovative technologies under strict oversight before their market introduction. These facilities could play an instrumental role in connecting the Europe’s R D ecosystem, creating new partnerships among numerous stakeholders. In addition to regulatory sandboxes, the European Commission intents to set up: A Public-Private Partnership (PPP) on AI, data and robotics designed to implement and invest in strategic research innovation and a deployment agenda for Europe Additional Networks of AI Excellence Centers to foster exchange of knowledge and advance collaboration with the industry Testing and experimentation facilities to test state-of-the-art technology Digital Innovation Hubs, one-stop shops to provide access to technical expertise and experimentation An AI-on-demand platform as a central European toolbox of AI resources (e.g., expertise, algorithms, software frameworks and development tools). Next Steps The proposed regulation is the at the start of a lengthy legislative process and will be debated by the European Parliament and European Council in the coming months. Given the importance of AI, and number of stakeholders involved, it is likely the proposed regulation will face various changes before being applied across the EU. For its part, SEMI Europe will maintain discourse with key public and private stakeholders on the proposed regulation, closely monitoring related policy developments as they unfold. Marek Kysela is senior coordinator of Advocacy at SEMI Europe.
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The turn of the New Year means new opportunities for the microelectronic industry as SEMI continues to focus on a top priority for companies across the microelectronics design and manufacturing supply chain and SEMI members – supporting the development of the talent pipeline. Regardless of a member company’s role within microelectronics, ensuring a continued, robust flow of qualified talent for what is a cross-cutting, foundational industry sector is of high strategic importance. Skilled workers are essential to advances in areas such as artificial intelligence (AI), smart manufacturing, medtech, transportation and communications. In order to satisfy the world’s insatiable appetite for technology, we need a qualified workforce that can design and manufacture cutting-edge microelectronic devices. Launched in 2019 by SEMI’s Government Programs Office, SEMI Works™ is a holistic approach to developing and maintaining the talent pipeline. 2020 focused on building the all-important infrastructure, engaging member companies to identify required skills and developing a Unified Competency Model to catalog these workforce requirements. SEMI Works™ accomplished several firsts for the microelectronics industry: First dynamic, data informed workforce training standard adopted and published by the U.S. Department of Labor Employment Training Administration (USDOL-ETA) First SEMI Certified college program for technicians First Industry Approved Apprenticeship Program for Technicians, adopted and endorsed by the U.S. Department of Labor Member inputs anchor the SEMI Works™ portal, which enables connections among talent, employers and training/education providers. The portal’s initial phase of development is on track for completion in the first quarter of this year, marking the point when it will begin to be populated with specific job information, individual (talent) profiles and applicable training courses. Once SEMI Works™ is fully operational, it will be optimized to further support talent development and acquisition, providing a comprehensive platform for learning management, e-learning and career advancement. Throughout 2021 SEMI will be engaging members, training providers and job seekers to ensure the portal’s capabilities and user interface meets their needs. We’ll also move forward with several other SEMI Work’s programs including the Curated Content Initiative, which will enable SEMI members to identify non-proprietary courses, a SEMI member job board and an interactive career map to help job seekers plan their future in the industry. The microelectronics industry will only fulfill its tremendous promise for innovation and growth with the right talent. SEMI looks forward to working with members in 2021 to expand SEMI Works™ and help lay the groundwork for the next wave of technology advances. Mike Russo is vice president of Industry Advancement and Government Programs at SEMI.
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Semiconductors play an essential role in modern society by enabling ground-breaking technological advances. The manufacture of high-volume and advanced semiconductors requires the use of fluorinated chemicals known as PFAS. Representing the voice of SEMI members, I explained the important role of these substances and their “essential use” in the semiconductor manufacturing supply chain at a Chemical Watch conference for industry and European Union decision-makers on 3rd of December 2020.In order to achieve the European Green Deal’s zero pollution ambition for a toxic-free environment, the European Commission announced in its recently published Chemicals Strategy for Sustainability its intention to restrict the use of the most harmful chemicals, except in cases where they are deemed essential for society. Per- and polyfluoroalkyl substances – known as PFAS – are the first group of chemicals facing regulatory scrutiny on this basis. This begs the question: What chemicals should be characterized as essential for society and what uses will they encompass? The key and enabling role of semiconductors in modern lifeSemiconductors are essential and ubiquitous in our lives. They are integral to enabling modern society to function – driving advancements in mobile communication technologies for the smartphones and computers that help us work more efficiently and connect us with our loved ones. These benefits have never been more evident than in 2020 with billions of people finding themselves working and studying remotely and safely from home.At the same time, technologies relying on semiconductors have been vital in the effort to combat COVID-19 – in ventilators, medical imaging devices and digital healthcare solutions. In addition, semiconductors will also enable the next leap in society to Industry 4.0 and as essential building blocks in connected and electric vehicles, artificial intelligence (AI) and quantum computing.The Commissioner for Internal Market, Thierry Breton, has highlighted the strategic importance of semiconductors in achieving European digital sovereignty (for instance, in his speech at Hannover Messe Digital Days), and the EU’s New Industrial Strategy[1] also points to the importance of semiconductors and microelectronic systems. What must also be appreciated are the cost and complexity of producing these valuable technologies. Setting up a cutting-edge fabrication plant with the hundreds of pieces of semiconductor manufacturing equipment typically required can cost around €15 billion.[2] A single semiconductor manufacturing tool typically consists of millions of articles, and a typical fab may house several hundred pieces of equipment. Furthermore, according to SEMI estimates, the fabrication of semiconductor wafers requires approximately 500 highly specialized process chemicals. In many cases, these processes, equipment and facilities rely on the unique properties offered by PFAS.“SEMI has worked diligently to highlight the strategic importance of semiconductors in achieving European digital sovereignty, and we are pleased that the critical role of microelectronics has been fully recognized by the EU and Member States. Fluorinated chemicals are essential for semiconductor manufacturing. "These specific chemicals are necessary due to their unique properties, and no alternatives are currently available that can adequately provide the functional properties required in semiconductor manufacturing. The essential use concept, therefore, must enable technological innovation, must apply across the entire supply chain, and must enable EU’s critical infrastructure and strategic objectives.” What are PFAS, and why and where are they used in semiconductor manufacturing?PFAS are a broad and highly diverse group of substances with unique properties and characteristics. The Organisation for Economic Co-operation and Development (OECD) has compiled a list of approximately 4,700 substances,[3] a handful of which are used in the semiconductor manufacturing industry. These very specific chemicals are necessary due to their unique and unparalleled properties that enable them to be used in the demanding conditions of semiconductor manufacturing.Semiconductor chemicalsAt the very core of semiconductor manufacturing is the photolithography process, where microscopic geometric patterns are transferred onto a film or substrate. Photolithography specialty formulations containing fluorinated compounds are used in various steps of this process to ensure quality and reduce the probability of defects. PFAS must be used due to their low surface tension and compatibility with other chemicals. PFAS are typically no longer present in the finished product. However, there are applications where PFAS are present in the final semiconductor device, particularly in imaging semiconductors used in cameras, displays and some medical devices, amongst others. Semiconductor manufacturing equipmentPFAS are also essential to semiconductor manufacturing equipment and factory infrastructure. The exceptional combination of their heat and chemical resistance and their chemical inertness allows fluoropolymers to be used both in equipment components (tubing, gaskets, containers, filters, etc.) and lubrication (such as various oils and greases). These same properties are also needed to ensure the functioning of the surrounding infrastructure. Finally, some fluorinated gases, which are already regulated by specific legislation,[4] are used as refrigerants and to clean the facilities.These are a handful of examples of how PFAS are used in semiconductor manufacturing. Today, there is no other way to undertake these processes or to build semiconductor manufacturing equipment without PFAS. No alternatives are currently available that can adequately provide the functional properties required. Even if alternative chemicals and technologies were discovered today, due to the extremely complex qualification process throughout the value chain, it would take another 15 years to deploy them in high-volume manufacturing. Therefore, continued access to PFAS is a prerequisite for high-volume and advanced semiconductors. Lack of continued access to PFAS could lead to an inability to produce and supply the EU with semiconductor manufacturing technology.How should we think about essential uses?Regulators have started to think about what uses of PFAS are essential and in which cases their use should be allowed. In developing this concept, there are a few aspects to keep in mind.Essential use must enable, not hinder, technological innovationFirst and foremost, the essential uses concept should enable continued technological innovation instead of acting as a hindrance. Semiconductors and manufacturing technology are constantly evolving and becoming more diverse to help meet increasing societal demands. What we see as innovative today may be commonplace in the future, while future innovations may be unimaginable today. We must therefore be careful not to accidentally limit our future potential for innovation.Essential use must apply across the entire supply chainSecondly, classifying a use as essential should apply throughout the entire supply chain. We must, for example, avoid defining semiconductors as essential while classifying the semiconductor manufacturing equipment and chemicals used to produce semiconductors as not essential. In the semiconductor manufacturing supply chain, where one manufacturer can have up to 16,000 suppliers, this risk is evident.[5]Essential use must enable critical infrastructures and the EU’s strategic objectivesFinally, we should keep Europe’s societal priorities in mind. The EU needs to be able to maintain and protect its critical infrastructures. Similarly, we should not lose sight of the EU’s strategic objectives of a green and digital Europe.Semiconductors, in conjunction with their corresponding manufacturing equipment and chemicals, are essential technologies in everyday life and the backbone of the EU’s strategic value chains. Manufacturing semiconductors is a very expensive and complex process that would not be possible without the unique properties of PFAS, making them essential to achieving the EU’s strategic objectives today – whether the European Green Deal or digital autonomy – and in the future. Therefore, we must ensure that essential uses will enable the continued use of PFAS in semiconductor manufacturing.The SEMI presentation delivered at the Chemical Watch event can be accessed here.Emir Demircan is director of Public Policy and Advocacy at SEMI Europe.[1] “The EU will also support the development of key enabling technologies that are strategically important for Europe’s industrial future. These include robotics, microelectronics, high-performance computing and data cloud infrastructure, blockchain, quantum technologies, photonics [etc.]”[2] Emerging technologies in electronic components and systems (ECS) Opportunities Ahead – A study by DECISION, 2018 for the European Commission[3] Available here[4] Regulation (EU) No 517/2014, “F-Gas Regulation”[5] SIA Nathan Associates, 2016, https://www.semiconductors.org/wp-content/uploads/2018/06/SIA-Beyond-Borders-Report-FINAL-June-7.pdf
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While Artificial Intelligence (AI) emerged in the 1950s, only in recent years have AI applications proliferated with the explosion of data and continuing improvements in Moore’s law that have driven rising processing speeds. Voice assistants, image analysis software, search engines, and speech and facial recognition systems were among the first applications to use AI. Today, adoption has spread to sectors such as agriculture, cybersecurity, healthcare, software development, e-government and the intelligent enterprise to generate jobs and help spur economic growth. The Edge AI Opportunity and the Microelectronics IndustryAI can be embedded in hardware devices such as advanced robots, autonomous cars, drones or Internet of Things (IoT) applications. Today, according to the EU’s digital strategy, data centres and other centralized computing facilities account for the vast majority – 80% – of AI data processing and analysis, with smart connected objects such as automobiles, home appliances and manufacturing robots that bring the compute function closer to the user representing 20%. The latter, known as Edge AI applications, are powered by edge-based machine learning chipsets, not the AI chipsets designed to run cloud-based machine learning algorithms.The EU’s white paper on AI published in February 2020 anticipates that the way data are stored and processed for AI applications will change significantly over the coming five years as edge computing applications proliferate. Most AI applications need to connect with devices that collect data and manage data flows. When the applications connect with cloud infrastructures to train large volumes of data for a machine learning model, the interface devices often require hardware support. Edge AI can minimize data transport by processing data directly from local devices to accelerate data analysis and decision-making and make data transport or accelerator hardware unnecessary, critical in reducing power consumption and enhancing data security for applications such as autonomous driving. Over the past 40 years, the ICT sector has been continuously increasing greenhouse gas (GHG) emissions despite efforts to shift to renewable energy. Cloud-based AI applications require an ICT infrastructure for high-performance computing and high-speed connectivity. According to MIT Technology Review, data centres’ AI workloads could account for a tenth of the world’s electricity usage by 2025. a mass update of cloud-based AI applications may significantly increase energy consumption, unlike with Edge AI. This is why the strategy for developing Edge AI is well-aligned with the EU’s Green Deal objectives. Europe aspires to play a leadership role in Edge AI to strengthen the sector’s competitiveness and protect the European digital sovereignty. Europe’s strong industrial competencies in embedded systems and microcontrollers will help the region promote development of European domestic AI solutions for emerging high-value IoT applications in industrial processes such as Industry 4.0, Connected and Automated driving (CSA), smart cities, climate action, healthcare, and national defence and security. With this strong strategic position in technology, Europe is well-positioned to invest to become the leader in the Edge AI global market.Preparing the Workforce for the Microelectronics IndustryTo design and manufacture leading Edge AI chipsets, European education providers and industry will need to work closely together to train the current and future workforces. Within the framework of the METIS project, a four-year project co-funded by the European Commission through the Erasmus+ programme, SEMI and imec deployed experts in the field to survey and interview focus groups. The survey identified the following key focus areas for workforce development: 1. True Capability of AI and Data Science With AI’s heavy dependence on data, the workforce of the future must be trained in areas of data science including data integrity to ensure quality, unbiased sourcing, collection and accurate analysis necessary to interpret huge volumes of data. Europe also needs to train the next generation of AI chip designers in data security and privacy – key challenges to the widespread deployment of Edge AI chips. 2. Climate Change, Sustainable Development Goals (SDGs) and Social Inclusion TrainingSince the industry must be able to develop Edge AI solutions to enable the digital transformation while limiting GHG emissions, microelectronics engineers need to be schooled in climate change and understand how their work contributes to meeting the United Nation’s Sustainable Development Goals (SDGs). Workplace diversity and social inclusion are also important target areas for education since Edge AI applications should serve various groups of people with different needs.3. EthicsChip industry workers must also be educated in ethical issues of AI related to the technology’s potential societal impact in the near future[1]. With AI applications capable of monitoring Internet searches based on users’ personal preferences and biases to deliver tailored advertising, news and other information, developers must recognize how the technology can influence thinking and behaviour of individuals and groups. This awareness can help developers strike a balance between supporting commercial interests and societal good so the microelectronics industry can ensure ethical implementation of AI. 4. Cross-disciplinary Skills Required for AIAI development requires a comprehensive, cross-disciplinary skill-set to be able to integrate the work of specialists from diverse educational, cultural and professional backgrounds critical to developing non-biased AI solutions. For example, in addition to technical expertise, microelectronics AI developers must be able to communicate clearly and work in close-knit teams with non-technical experts from business, law, medicine and the social sciences.What’s Next?The microelectronics industry has a tremendous opportunity to develop new chip-based solutions for AI architectures, and apply AI techniques to improve operational efficiencies of design and manufacturing. To seize this opportunity, the industry must work closely with education providers to groom the next generation of skilled workers. This tight collaboration is critical to designing and delivering specialised courses to college and university students as well as engineers now working in the chip sector. The stakes are high. By preparing workers to develop Edge AI chipsets, the microelectronics industry can help the world confront some of the greatest challenges it faces today.For more information, see SEMI Responds to European Commission White Paper on Artificial Intelligence.METIS is a Sector Skills Alliance project co-funded by the European Commission’s Erasmus+ Program and coordinated by SEMI. The four year project, launched in November 2019, will develop a Microelectronics Skills Strategy. Based on the strategy, the METIS project will design 43 training modules for 1,100 hours learning in four key areas of the microelectronics sector.We thank Patrick Blouet (STMicroelectronics) and Jeroen Geusens (imec) for their valuable contributions to this article.[1] Ethics of Artificial Intelligence and Robotics, Stanford Encyclopedia of PhilosophyDr. Yanying Li is senior manager of Collaborative Projects at SEMI Europe.Dr. Pushkar P. Apte is the strategic technology advisor for the Smart Data AI Initiative at SEMI
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Europe is facing an acute shortage of skilled microelectronics workers that undermines the growth potential of not only the electronics industry but the European economy as a whole. Nearly 1.1 million job advertisements for electro-engineering workers were placed in the EU between mid-2018 and the end of 2019 (CEDEFOP, 2020). The shortfall looms large as a skilled and diverse workforce that can continuously innovate is the oxygen of microelectronics. In light of the critical importance of microelectronics to Europe’s ability to fulfill its growth potential, SEMI Europe participated in the high-level roundtable hosted by Commissioner Nicolas Schmit and Commissioner Thierry Breton on October 5. The discussion’s key takeaway: The skills challenge facing the microelectronics industry is too complex for one organization to tackle, and reskilling and upskilling its workforce should be a common priority for Europe. Only with a diverse, substantial and skilled microelectronics workforce can Europe achieve its R D, design and manufacturing ambitions while ensuring its sovereignty in the digital age. The roundtable highlighted the EU Pact for Skills as a key means to narrow the industry’s skills gap.An ever-growing part of our lives, microelectronics, with their ability to run billions of computations per second and store vast quantities of data, are the brains of modern technology. The digital sovereignty of nations around the world today relies on advanced microprocessors to collect, transfer, analyze and store immense amounts of data used in key end-user sectors such as mobility, telecommunications, energy, security and healthcare. Information and communication technologies (ICT) enabled by microelectronics are helping much of the world’s population to work and study from home and remain safe during the COVID-19 pandemic.According to the Smarter2030 Report, further deployment of ICT, including electronic components in critical sectors such as transportation, manufacturing, agriculture, construction and energy, could eliminate the equivalent of 12.1 billion tons of CO2 per year globally. These are some of the reasons why nations worldwide are making large-scale investments to advance a homegrown microelectronics R D, design and manufacturing base. It is no surprise, then, that semiconductors are now at the center of the so-called global techno-trade wars.Clearly, Europe urgently needs to mobilize and pool resources to develop effective lifelong learning programs for all workers and continue investing in microelectronics innovation. We need to instill the passion for creating technology among current and future workforce, in particular women and people with challenged backgrounds, and build a highly diverse talent pool. Working together, we can better demonstrate how computing technologies, including quantum, high-performance and edge AI, provide solutions to grand societal challenges and attract talented people to the fascinating world of electronic components and systems.Against this backdrop, the microelectronics industry finds the Pact for Skills very timely and crucial to advancing the talent pool underpinning Europe’s deep digital ecosystem. The Pact will play an instrumental role in improving the scope and the quality of training partnerships at regional, national and European levels, sharing best practices and helping the microelectronics industry and workforce adapt to the effects of COVID-19.The microelectronics industry is committed to building on the momentum created by the METIS Erasmus+ collaborative project and to mobilizing our ecosystem and education partners for a successful Pact for Skills in Microelectronics starting this year.The High-Level Roundtable: Skills for Microelectronics was hosted by Commissioner Thierry Breton and Commissioner Nicolas Schmit. Participants included Paul Boudre, CEO, SOITEC; Lars Reger, CEO Germany and CTO, NXP; Frits van Hout, Executive Vice-President and Chief Strategy Officer, ASML; Françoise Chombar, CEO, Melexis; Emmanuel Sabonnadiere, CEO, CEA-Leti; Luc Van den hove, President and CEO, imec; Sabine Nietzsche, Board member, Silicon Saxony and Vice President, GlobalFoundries; Laith Altimime, President, SEMI Europe (coordinator of METIS); Yolande Berbers, President, European Society for Engineering Education (SEFI); James Calleja, President, European Forum for Technical Vocational Education and Training (EFVET); Ludovic Voet, Confederal Secretary, European Trade Union Confederation (ETUC).Emir Demircan is director of Advocacy and Public Policy at SEMI Europe. To learn more about SEMI Europe advocacy, contact Emir at [email protected].
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