greenhouse gas emissions

The Semiconductor Climate Consortium has released its first alignment document with recommendations for calculating Scope 3 Category 1 (Purchased Goods and Services) – a substantial portion of Scope 3 emissions for most companies.

The semiconductor industry – recognizing its own fabs can do much more to reduce their carbon footprint – is in a position to help turn the tide on rising temperatures worldwide and more chip companies are launching sustainability initiatives to contribute to the cause.

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

The recent World Economic Forum event in Davos ranked the unfolding climate crisis among the top three risks companies and governments must address in order to prevent irreversible environmental damage. With the stakes that high, it is becoming critical for organizations of all sizes to take into account climate change risks and opportunities as they develop their strategic and business continuity plans.Two fundamentally different schools of thought have emerged on how to address climate change. On one side, NGOs and climate activists such as Greta Thunberg are pressuring governments to abruptly divert away from fossil fuels, a shift that experts say would exact a deep economic impact. On the other side is the camp that believes capitalism will run its course and ultimately guide public and private entities to find climate change solutions.For their part, organizations are responding to rising pressure from shareholders and stakeholders to disclose their emissions mitigation strategies. The accuracy and completeness of environmental disclosures ranges widely. Some businesses adopt a conservative approach and limit the volume of information made public, while others announce aggressive targets for reducing emissions from their operations and supply chains.Formed 18 years ago, the Carbon Disclosure Project (CDP) has motivated companies (and now cities) to disclose their greenhouse gas (GHG) emissions. In 2019, more than 525 institutional investors representing $96 trillion in assets backed the CDP, whose annual CDP questionnaire is often recognized as the most “comprehensive collection of self-reported environmental data in the world.”As the list of signatory investors supporting the CDP has grown over the years, so has the number of companies responding to the annual CDP questionnaire – from 228 companies in 2003 to over 8,400 in 2019. Company scores are based on 14 disclosure areas such as C-suite level sign-off on the questionnaire content, producing GHG emission data verified by a third party, or publicizing their completed questionnaire on the CDP website. Among all respondents, 179 companies (2%) scored the highest in leadership by demonstrating the strongest commitments to reducing greenhouse gases emissions from their operations and supply chain.Among these 179 companies – referred to as the A-list companies – 10 are SEMI members headquartered in Japan, Taiwan, Korea and France. SEMI applauds these members for ranking among the most progressive companies in disclosing greenhouse gas emissions, an achievement that requires considerable work but puts them in a position of strength in conveying to customers, investors and other stakeholders their commitment to climate resiliency.Olivier Corvez is senior manager of Environment, Health, Safety and Sustainability at SEMI.