Digital Government (Data and Artificial Intelligence)
About this Research Theme
Research in digital government is essential for understanding the ethical, legal, and societal implications of emerging technologies. This research informs the development of comprehensive policies that safeguard privacy, promote responsible data usage, and harness the potential of AI for the benefit of society.
Faculty
Adegboyega Ojo
- Professor, Canada Research Chair in Governance and Artificial Intelligence — digital Government; artificial intelligence governance; data-intensive public sector innovation; policy analytics
- Email Adegboyega
Amanda Clarke
- Associate Professor — public administration, digital government, data governance, civic technology
- Email Amanda
Graeme Auld
- Professor — comparative and global environmental politics and policy; international political economy; transnational private governance and private regulation; corporate social responsibility; climate change; natural resource governance
- Email Graeme
- 613-520-2600 ext 2259
Mehmet Akif Demircioglu
- Associate Professor – public sector innovation and entrepreneurship, good governance, effective leadership, public management, comparative and international public administration, organization theory, organizational behavior
- Email Mehmet Akif
Nathan Grasse
- Associate Professor — nonprofit finance and financial management; governance and leadership; and strategic management
- Email Nathan
- ext 4177
Recent Publications
AI Audit Objects, Credentialing, and the Race-to-the-Bottom: Three AI Auditing Challenges and A Path Forward
A major issue that remains to be figured out for AI governance is how potential third-party audits will be performed and overseen. This piece, written …
Carleton leads discussion on Artificial Intelligence (AI) Governance
Benjamin Faveri and Graeme Auld publish a background paper Informing Possible Futures for the use of Third-Party Audits in AI Regulations, that provided the groundwork …
Governing AI Through Ethical Standards
Understanding the directions ethical AI governance will require assessing the dynamic relationship between private actors and public policy. The possible future of AI governance …