Technical Standards in Services and Trade Governance
Hildegunn Kyvik Nordås | 8 May 2024
Trade,
Blog | Tags:
Artificial Intelligence,
Digital Economy,
International Standards,
Services Trade,
Trade Governance Standards can potentially resolve the trade-off between regulatory certainty and space for innovation, provided they are recognized and accepted by law enforcement bodies.
... continue reading
Governing AI for Humanity: Thoughts on the UN AI Advisory Body Interim Report
Hildegunn Kyvik Nordås | 8 April 2024
Trade,
Blog | Tags:
Artificial Intelligence,
Data Governance,
Innovation The awesome capabilities of AI applications have raised deep concerns about the future of work, democracy and even humanity itself - and a sense of urgency for establishing effective governance at all levels and use cases.
... continue reading
Why a Deal in the WTO Negotiations on E-Commerce is a “Must-Have” for MC13
Hildegunn Kyvik Nordås and
Jane Drake-Brockman | 13 February 2024
Trade,
Blog | Tags:
Artificial Intelligence,
Digital Economy,
WTO The internet is fundamentally dependent on openness to cross-border data flows. But many governments are regulating to constrain international data transfers - including under a banner of data sovereignty.
... continue reading
Double Whammy? The Impact of Trade and Automation on High-Skilled Jobs
Hildegunn Kyvik Nordås and
Franziska Klügl | 10 January 2022
Trade,
Blog | Tags:
Artificial Intelligence,
Employment,
Services As Artificial Intelligence (AI) capabilities for language, speech and image recognition pass human levels, AI-enabled software can perform white collar tasks previously done exclusively by high-skilled humans. Furthermore, white collar jobs in rich countries could face a double whammy. Not only may AI-enabled automation transform
... continue reading
Is Artificial Intelligence Coming for Your Job?
Hildegunn Kyvik Nordås and
Franziska Klügl | 13 July 2021
Trade,
Blog | Tags:
Artificial Intelligence,
Employment,
Innovation Artificial intelligence (AI) potentially generates big changes to the way we live and work. In a recent study we simulate the uptake of AI-enabled automation software in engineering and manufacturing. It shows an S-shaped adoption path – slow at the beginning and accelerating as a
... continue reading