Case study

Enhancing social well-being with Responsible AI

Company type: A government body

Services: Ethical AI framework consultancy service

Client issue / challenge

While AI and big data analytics have the potentials to improve social wellbeing and are increasingly being applied to numerous public service areas in order to improve operational efficiency and deliver new services for citizens, but at the same time this can bring about different challenges.

Our client recognises the importance of considering AI and data ethics when implementing IT projects and providing services in order to realise the benefits and avoid negative repercussions. With the growing adoptions of data-driven technologies by government bodies, our client requested a consultancy service to assist them in developing a balanced adoption strategy that protects the public interest while fostering innovation.

The approach 

  • PwC met with a variety of stakeholders and presented on AI, the AI lifecycle, data ethics, risks, and best practices. PwC engaged stakeholders in interactive sessions to elicit feedback and requirements.
  • Over 100 pieces of international and domestic literature were analysed to condense and summary applicable principles, benefits, challenges, and recommendations associated with artificial intelligence to our client.
  • Additionally, PwC designed the AI governance structure, which was used to ensure that the appropriate strategy, processes, people, and technology are considered; and the AI Application Impact Assessment, which was used to guide the adoption of the appropriate controls to mitigate risks associated with the client's AI applications.

Impact

  • To expedite the delivery of the research report, the PwC Responsible AI framework, existing literature research, and ethical AI principles were used.
  • With pre-existing materials, we were able to quickly ramp up our assessment, hold interactive discussions, and deliver recommendations.