SMU David R Tillinghast Global Digital Taxation Conference 2020

STAY AHEAD OF THE INDUSTRY

When

30 March - 1 April 2020

Where

SMU School of Law

55 Armenian Street

Singapore 179943

Contact Us

To learn more, don’t hesitate to get in touch

© 2020 by SMU. All rights reserved.

BEPS 2.0: Voices from A Digital Asia

30 MAR - 1 APR 2020

SINGAPORE

SMU

SCHOOL OF LAW

The Conference

The SMU Law School Centre for AI and Data Governance is proud to present the SMU David R Tillinghast Global Digital Taxation Conference on 31 March-1 April 2020 in Singapore. This unique conference brings together leading regional and international tax, business industry leaders and tax administrators in a unique forum to discuss the challenges of digital economy taxation.

 

The focus will be on G20-OECD finance ministers’ finalisation of the global reform of taxation of the digitalized economy, with a particular focus on the Asia-Pacific perspectives, a voice that is little heard in the international forum on digital taxation.

✓! For the first time ever:

  • NYU Tillinghast lecture will be delivered in Asia by Indian Chief Tax Commissioner and Central Board of Taxes member, Mr Akilesh Ranjan

  • Judges from the International Association of Tax will speak to adjudicating on digital tax principles

  • Real-life use cases of Artificial Intelligence, data analytics and technology by US IRS, Singapore IRAS, Microsoft, Korean and German AI experts

 

About Us

SMU Law School Centre for AI and Data Governance

Singapore Management University

55 Armenian Street

Singapore 179943

The Centre for AI & Data Governance (CAIDG) is a research instituted situated in the Singapore Management University School of Law. Established in September 2018, CAIDG conducts independent research on policy, regulatory, governance, ethics, and other issues relating to AI and data use. The Centre is supported by the National Research Foundation and the Infocomm Media Development Authority of Singapore, and forms part of the national ecosystem driving the development of responsible AI in Singapore. 

The Centre has three goals:

  1. Conduct academic research to inform AI and data governance in Singapore and beyond, with a particular focus on legislation and policy

  2. Convene and facilitate dialogue, across academic and industry, especially between organisations in the Asia Pacific region

  3. Share our research and learn from other organisations and the wider public

 

SMU.

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