Read our series based on the report: ‘Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable AI’. The report suggests various steps that different stakeholders in AI development can take to make it easier to verify claims about AI development, with a focus on providing evidence about the safety, security, fairness, and privacy protection of AI systems.

Articles (1), (2), (3) and (4) are now available. 

Ethical by Design: Principles for Good Technology. As raised by Dr Matthew Beard and Dr Simon Longstaff AO, the ethics of AI is not only relevant to killer robots and other headline-grabbing topics. The implications of technology not ethically designed can be poignant even when these ethical issues are not obvious.

United Nations Secretary-General’s has released a roadmap for digital cooperation which envisages 8 key areas for action.

This paper considers the Regulatory alternatives for AI. Roger Clarke believes that given how impactful AI is
expected to be, and the very low likelihood that all organisations will act responsibly, it is
essential that an appropriate regulatory regime be applied to AI.

Health vs. Privacy: Do We Have a Choice? Although these are unusual times and technology needs to be deployed to implement quick and effective change, we also need to ensure that sensible parameters are put in place. 

Governments must build trust in AI to fight COVID-19 – Here’s how they can do it. As the initial crisis gives way to long-term policies and public health practices, governments will need to build trust in AI to ensure future protections can be deployed and maintained.

Screen Time Shenanigans: Competition vs. Privacy in the Apple Ecosystem: Is Apple unfairly restricting independent developers or is Apple on the leading edge of protecting users’ privacy? We will try to explain what happened and take a look at the bigger picture.

How Well Do You Understand Trustworthy AI? Learn more and test your understanding of trustworthy AI by taking our test—based on Singapore’s Model AI Governance Framework.

Is AI Compatible With A Right To Privacy? Navigating the right to privacy in the digital age, and especially the artificial intelligence age: AI cannot function without data, and AI that is helpful to people on a personal basis needs to be based on (i.e. “trained on”) personal data

The AI Asia Pacific Institute and People Collider Announce Collaboration in Helping to Shape the Future of Work with Artificial Intelligence. The partnership is a step in the right direction to leverage AI in a way that creates opportunities for all, by investing in people and empowering them to change from passive observers of the 4th industrial revolution to becoming a force for good during this technological disruption.