The first set of governance questions pertain to the intersection of conflicting rights and values: should platforms prioritise certain rights or principles over others? Are they best-placed to identify which rights should be privileged when - privately
- regulating social interactions? How should such balancing be conducted between conflicting rights of the same nature, for example between conflicting economic freedoms or conflicting fundamental human rights? What is the relevance of the sources of those
rights, for instance in conflicts between rights enshrined in terms of service and diverging conceptions of those rights under the “law of the land”? Should principles, community guidelines and rules of practice (including internal precedents) be weighed any
differently as part of balancing? Should balancing be ruled out for certain conflicts?
2. Artificial intelligence.
This second set of questions can be seen as twofold. On the one hand, it relates to value appropriation, in particular in the scramble for data and insights that can be extracted from it to power a new breed of artificial intelligence applications. Since
data is a key input for the improvement of algorithms, profiling, and the elaboration of new cognitive services, should data subjects and other players in the platform ecosystems share in the value generated by their marginal input? Should platforms be the
only beneficiaries of this learning process, or should the law constrain their ability to exclude others (including consumers, workers, competitors and complementors) from sharing in the benefits generated by the platform ecosystem? On the other hand, the
development and implementation of artificial intelligence systems to automatise decision-making functions calls into question the values that should be “baked” into such systems in order to minimise negative consequences and strive towards the design and development
of ethical automated systems. In this respect, what are the fundamental values that should orientate the design, development and deployment of artificial intelligence within platforms? How can those values be appropriately incorporated into artificial intelligence
solutions implemented within platforms? Are the principles of transparency, non-discrimination and due process sufficient to prevent unfair value extraction, or do we need stronger intervention?
3. Tax avoidance.
Finally, it is necessary to appreciate whether platforms provide long-term value with their functionalities (for example, bringing together different sides) or rather primarily engage in value extraction (for instance, limiting choice and deriving advantages
in favouring certain kinds of behaviors or business models) and regulatory arbitrage. Defining how and where the value is created is crucial in determining the tax regime that is applicable to their activities, and in identifying unfair or fraudulent transfers
of wealth. How should value be constructed for tax purposes, and how should regulators around the world deal with global tech giants? Are recent legislative initiatives on digital VAT marking the beginning of an inevitable race to the bottom to attract investment
by global platforms, or do they set the foundations for interstate cooperation? Are existing reflections, such as the OECD’s works on transfer pricing and Base Erosion and Profit-Shifting sufficiently mature to be implemented by states? And, most importantly,
are states willing and able to implement existing proposals?Is a national or local tax on intermediaries for data collection and aggregation a viable way to account for the transfer of value that takes place between users and platforms?
[1] For an overview of the Coalition’s work, see
https://www.intgovforum.org/multilingual/content/dynamic-coalition-on-platform-responsibility-dcpr?qt-dynamic_coalition_on_platform_re=4#qt-dynamic_coalition_on_platform_re
Timeframe
Ø Deadline for extended abstracts (min. 4000 words): April 10th, 2019
Ø First Round of Reviews and paper selection: May 31st, 2019
Ø Workshop for feedback and paper discussion: July 27th, 2019
Ø Revised manuscript: September 10th, 2019
Ø Final decision: September 30th, 2019
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Luca Belli, PhD Professor of Internet Governance and Regulation
Botafogo - Rio de Janeiro, RJ - CEP: 22250-900 |