Fujitsu Delivers New Resource Toolkit to Offer Guidance on Ethical Impact of AI Systems
February 22, 2022 | ACN NewswireEstimated reading time: 3 minutes
Fujitsu announced the development of a resource toolkit offering developers guidance for evaluating the ethical impact and risks of AI systems based on international AI ethics guidelines. Fujitsu will offer these resources free of charge starting from February 21, 2022 to promote the safe and secure deployment of AI systems in society.
The toolkit consists of a variety of case studies and reference materials, including a newly developed method for clarifying ethical requirements in AI ethics guidelines written in natural language, as well as for applying ethical requirements to actual AI systems. The resources in Japanese can be downloaded here, with availability in English to follow in the near future.
With this guidance, Fujitsu aims to prevent misunderstandings and potential risks caused by differences in the interpretation of descriptions in guidelines, offering AI system developers and operators new tools for thoroughly identifying and preventing possible ethical issues early in the development process in keeping with international best practices.
Dr. Christoph Lutge of the Technical University of Munich, a leading authority in the research of responsible AI and business ethics, comments, "In Europe, there is a growing debate about AI regulations, and one of the key issues is how to close the gap between principles and practices, or "what" and "how." I believe that the results of this research are very significant in that they enable us to practice based on principles. I would also like to express my deep appreciation for the decision to open up the research results and stimulate discussion worldwide."
Going forward, Fujitsu will actively work to partner with government agencies, private companies, and leading researchers to further refine and promote its newly developed methodology and aims to release an expanded version of the resource toolkit in fiscal year 2022.
Background
In April 2021, the European Commission issued a draft for a regulatory framework calling for a comprehensive ethical response for AI system developers, users, and stakeholders in response to increasing concerns surrounding algorithmic bias and discriminatory decision-making in AI and machine learning applications.
To commit fully to the responsible use of technology and earn society's trust in AI systems and the companies and organizations involved in this space, Fujitsu has formulated its own AI Commitment in 2019, as well as a new AI Ethics and Governance Office to develop and enforce robust policies for AI ethics, promote organizational AI ethical governance to ensure their effectiveness. Now, Fujitsu will move from principle to practice by steadily implementing best practices in the real-world to ensure the realization of ethical, safe, and transparent AI and machine learning technologies.
At present, it is common practice in AI system development to identify possible ethical risks in AI systems based on AI ethics guidelines issued by government authorities and companies. These guidelines are written in natural language, however, contributing to possible differences in interpretation and misunderstandings amongst designers and developers that can lead to inappropriate or insufficient measures. Under this method it is also difficult to judge whether the contents of the guidelines were thoroughly and appropriately reviewed.
Many challenges remain, however, and possible misinterpretation of guidelines in the design phase of new technologies can potentially lead to insufficient or inappropriate measures to counter risk.
New evaluation method and resources to help clarify guidelines and ethical risk
In preparing this new toolkit and guidance for developers, Fujitsu performed analyses of past AI related incidents collected in the AI Incident Database of the international consortium Partnership on AI (1). This process led to the conclusion that ethical issues related to AI systems can be contextualized with the exchange of information ("interactions") between discreet elements within an AI system and between an AI system and its users and other stakeholders.
Based on these findings, Fujitsu successfully developed an evaluation method to systematically identify relevant ethical issues related to AI systems, allowing for the creation of AI ethics models (2) that are able to clarify the interpretation of AI ethics guidelines.
Fujitsu applied its new evaluation method to 15 representative cases out of the AI Incident
Database (164 global cases registered as of February 21, 2022, examples included cases from areas like the financial and human resources sector). Applying the new method, all ethical issues that occurred in real world use cases were successfully identified as risks in advance during verification trials, the results of which have been published.
Suggested Items
Real Time with... IPC APEX EXPO 2024: AI Implementation at Omron
04/18/2024 | Real Time with...IPC APEX EXPOEditor Nolan Johnson and Omron Product Manager Nick Fieldhouse discuss the company's focus on AI implementation to enhance customer experience and results. They address programming challenges and how AI can help customers achieve better outcomes with less experience. Omron's AI is compatible with existing systems, facilitating easy upgrades.
Cadence Unveils Palladium Z3 and Protium X3 Systems
04/18/2024 | Cadence Design SystemsThe Palladium Z3 and Protium X3 systems offer increased capacity, and scale from job sizes of 16 million gates up to 48 billion gates, so the largest SoCs can be tested as a whole rather than just partial models, ensuring proper functionality and performance.
Real Time with... IPC APEX EXPO 2024: MYCRONIC's Evolution and New Solutions
04/17/2024 | Real Time with...IPC APEX EXPOHenry Crandall interviews Kevin Clue, the vice president of global sales for MYCRONIC's High Flex division. They discuss the company's evolution, emphasizing its strong customer relationships and its role as a versatile, turnkey solution provider. Kevin unveils new solutions launched at IPC APEX EXPO, including an AI-integrated inspection system and the A40 pick-and-place platform. The conversation also touches on the increased use of AI and deep learning.
Australian Flow Batteries and The SCHMID Group Announce Groundbreaking Memorandum of Understanding
04/17/2024 | SCHMID GroupAustralian Flow Batteries Pty Ltd (AFB), a leader in innovative energy solutions and economical, safe, and reliable power storage, and SCHMID Energy Systems GmbH a company of the German SCHMID Group, a global technology leader with a rich history in delivering innovative solutions across multiple industries including Electronics, Renewables, and Energy Storage sectors, are thrilled to announce the signing of a Memorandum of Understanding (MoU)
Ansys Joins BAE Systems’ Mission Advantage Program to Advance Digital Engineering Across US Department of Defense
04/16/2024 | ANSYSAnsys announced it is working with BAE Systems, Inc., to accelerate the adoption of digital engineering and MBSE across the Department of Defense (DoD).