Ethical AI at Fujitsu: Building Trust in Technology and Beyond

April 27, 2023

AI

Introduction to Ethical AI

With the introduction of ChatGPT, there has been growing interest around the world in AI – one of Fujitsu’s Key Technological Areas (KTAs). As the technology continues to advance and become more widespread, it is important to consider the ethical implications of its use. Ethical AI refers to the principles that guide the use of AI in a responsible and transparent manner while considering the potential impacts on individuals and society. Adhering to these principles can ensure that AI tools, such as ChatGPT, operate in an ethical and socially acceptable way.

One key aspect of ethical AI is fairness and non-discrimination. AI algorithms should be designed and trained to avoid bias and treat all individuals equally. For example, a few years ago, Amazon created a tool that used AI to support its hiring process. However, the AI model began discriminating based on gender, and eventually, the program had to be scrapped.

Another important aspect of ethical AI is accountability and transparency. The decisions and actions of AI systems should always be understandable and explainable to humans. This not only allows for accountability and oversight but also helps to build trust in the technology. For example, when AI is used to decide the credit limit of a person applying for a credit card, we should be able to explain why we arrive at a certain answer. Apple and Goldman Sachs faced criticism when they were unable to explain why their system offered a lower credit limit to women than men from the same family with seemingly the same credit history. The AI was subsequently investigated by the state department.

Governments across the world are looking at ways to make companies more accountable and pass regulations to that effect. The EU, for instance, proposed the Artificial Intelligence Act in April 2021, which aims to create a comprehensive regulatory framework for AI systems in the European Union (EU).  The AI Act is part of the EU's wider strategy to promote trustworthy AI and establish the EU as a leader in AI ethics and regulation.

Once passed, the legislation will have far-reaching implications for businesses and organisations that develop or use AI systems in the EU and will likely set a precedent for other countries and regions considering similar regulations.

So, what is Fujitsu doing?

Fujitsu is doing several things to enhance AI Ethics. For starters, in March 2019, Fujitsu launched the "Fujitsu Group AI Commitment", which is a set of 5 principles that outlines our commitment:

  • Provide value to customers and society with AI.
  • Strive for Human Centric AI.
  • Strive for a sustainable society with AI.
  • Strive for AI that respects and supports people's decision-making.
  • Corporate responsibility, emphasise transparency and accountability for AI.
  • In the same year, Fujitsu also established the Fujitsu Group AI Ethics External Advisory Committee, a committee of prominent external experts that we consult with regularly. Both our CEO and COO also sit on this committee.

    In February 2022, Fujitsu established the AI Ethics and Governance Office (AIEGO), tasked with actively promoting and governing AI Ethics within the organisation. Additionally, Fujitsu is also a founding member of AI4People which created an ethical framework for good AI in society.

    In Japan, the company also provides an AI ethics e-learning program for all employees. This will eventually be rolled out worldwide.

    Fujitsu dedicates significant time and resources towards Responsible AI, focusing on explainability, quality, and fairness within the AI lifecycle.

    Fujitsu's AI Ethics Technology

    Being a technology company, Fujitsu uses tools and techniques to address some of the issues associated with AI Ethics. These are:

  • AI Ethics Impact Assessment: This is used to assess the risk associated with AI.
  • Fairness Checker: This allows us to detect and mitigate "intersectional bias" caused by various combinations of attributes.
  • FAML: A tool that allows users to compare different bias mitigation techniques visually and choose the best one.
  • Interested in knowing more?

    If you are interested in finding out more about what we are doing in AI Ethics, follow the link below:

    AI Ethics Impact Assessment ~From principles to practice~ (fujitsu.com)

    Mahesh Krishnan
    Chief Technology Officer at Fujitsu Australia and New Zealand

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