Innovation, Quantum-AI Technology & Law

Blog over Kunstmatige Intelligentie, Quantum, Deep Learning, Blockchain en Big Data Law

Blog over juridische, sociale, ethische en policy aspecten van Kunstmatige Intelligentie, Quantum Computing, Sensing & Communication, Augmented Reality en Robotica, Big Data Wetgeving en Machine Learning Regelgeving. Kennisartikelen inzake de EU AI Act, de Data Governance Act, cloud computing, algoritmes, privacy, virtual reality, blockchain, robotlaw, smart contracts, informatierecht, ICT contracten, online platforms, apps en tools. Europese regels, auteursrecht, chipsrecht, databankrechten en juridische diensten AI recht.

Berichten met de tag European Commission
Quantum Technology Impact Assessment (EU AI Alliance, European Commission)

Brussels, 20 April 2023—The emergence of powerful new capabilities in large AI models, such as Generative Adversarial Networks (GANs), underscores the critical need to continuously improve and update technology impact assessment tools, ensuring they keep pace with rapid technological development. As defined in recent scholarship, technology impact assessment is the systematic process of monitoring and determining the unintended, indirect, or delayed societal impacts of a future technological innovation. Crucially, it is also about capitalizing on opportunities and enabling responsible innovation from the outset.

An article by Stanford Law’s Mauritz Kop on this topic is also featured on the European Commission's Futurium website.

Shaping the Quantum Innovation Process

Quantum Impact Assessments (QIAs) are emerging as vital practical tools to facilitate the responsible adoption of quantum technologies. There are several related approaches to this assessment: (1) interactive QIA, which seeks to influence and shape the innovation process; (2) constructive QIA, where social issues guide the design of the technology from its earliest stages; and (3) real-time QIA, which connects scientific R&D with social sciences and policy from the start, before a technology becomes locked-in.

Often taking the form of codes of conduct, best practices, roadmaps, and physics de-risking tools, QIA instruments can be used by governments, industry, and academia. These soft law toolsallow stakeholders to explore how current technological developments affect the world we live in and to proactively shape the innovation process toward beneficial, societally robust outcomes.

Exploratory Quantum Technology Assessment

Implementing interdisciplinary, expert-based QIAs can help raise awareness about the ethical, legal, socio-economic, and policy (ELSPI) dimensions of quantum technology, including quantum-classical hybrid systems. For instance, QIAs cultivate a deeper understanding of the potential dual-use character of quantum technology, where beneficial applications (such as quantum sensing for medical diagnostics) can exist alongside potentially harmful ones (such as the same sensors being used for autocratic surveillance).

Building on the foundational work of the 2018 AI Impact Assessment developed by ECP | Platform voor de InformatieSamenleving chaired by Prof. Kees Stuurman, this work presents a prototype of a QIA instrument: the Exploratory Quantum Technology Assessment (EQTA). This pioneering initiative was made possible through a collaboration between the Dutch Ministry of Economic Affairs & Climate Policy, Quantum Delta NL (QDNL), and ECP. The EQTA will be presented by Eline de Jong and Mauritz Kop at the inaugural Stanford Responsible Quantum Technology Conference in May 2023.

Guidance for Responsible Quantum Technology Implementation

The EQTA provides a comprehensive, practical step-by-step plan that encourages stakeholders to initiate a dialogue to clarify which ethical, legal, and social aspects are important in the creation and application of quantum systems and their interaction with classical technologies. This structured approach helps make the use of quantum technology—as well as the data and algorithms that power it—more transparent and accountable from an early stage.

Looking forward, establishing a risk-based legal-ethical framework in combination with standardization, certification, technology impact assessment, and life-cycle auditing of quantum-driven systems is crucial to stewarding society towards responsible quantum innovation. Mauritz Kop’s research group has written more on this framework in their seminal article Towards Responsible Quantum Technology (Harvard).

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EU Artificial Intelligence Act: The European Approach to AI

Stanford - Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust and IPR Developments, Stanford University, Issue No. 2/2021

New Stanford tech policy research: “EU Artificial Intelligence Act: The European Approach to AI”.

Download the article here: Kop_EU AI Act: The European Approach to AI

EU regulatory framework for AI

On 21 April 2021, the European Commission presented the Artificial Intelligence Act. This Stanford Law School contribution lists the main points of the proposed regulatory framework for AI.

The Act seeks to codify the high standards of the EU trustworthy AI paradigm, which requires AI to be legally, ethically and technically robust, while respecting democratic values, human rights and the rule of law. The draft regulation sets out core horizontal rules for the development, commodification and use of AI-driven products, services and systems within the territory of the EU, that apply to all industries.

Legal sandboxes fostering innovation

The EC aims to prevent the rules from stifling innovation and hindering the creation of a flourishing AI ecosystem in Europe. This is ensured by introducing various flexibilities, including the application of legal sandboxes that afford breathing room to AI developers.

Sophisticated ‘product safety regime’

The EU AI Act introduces a sophisticated ‘product safety framework’ constructed around a set of 4 risk categories. It imposes requirements for market entrance and certification of High-Risk AI Systems through a mandatory CE-marking procedure. To ensure equitable outcomes, this pre-market conformity regime also applies to machine learning training, testing and validation datasets.

Pyramid of criticality

The AI Act draft combines a risk-based approach based on the pyramid of criticality, with a modern, layered enforcement mechanism. This means, among other things, that a lighter legal regime applies to AI applications with a negligible risk, and that applications with an unacceptable risk are banned. Stricter regulations apply as risk increases.

Enforcement at both Union and Member State level

The draft regulation provides for the installation of a new enforcement body at Union level: the European Artificial Intelligence Board (EAIB). At Member State level, the EAIB will be flanked by national supervisors, similar to the GDPR’s oversight mechanism. Fines for violation of the rules can be up to 6% of global turnover, or 30 million euros for private entities.

CE-marking for High-Risk AI Systems

In line with my recommendations, Article 49 of the Act requires high-risk AI and data-driven systems, products and services to comply with EU benchmarks, including safety and compliance assessments. This is crucial because it requires AI infused products and services to meet the high technical, legal and ethical standards that reflect the core values of trustworthy AI. Only then will they receive a CE marking that allows them to enter the European markets. This pre-market conformity mechanism works in the same manner as the existing CE marking: as safety certification for products traded in the European Economic Area (EEA).

Trustworthy AI by Design: ex ante and life-cycle auditing

Responsible, trustworthy AI by design requires awareness from all parties involved, from the first line of code. Indispensable tools to facilitate this awareness process are AI impact and conformity assessments, best practices, technology roadmaps and codes of conduct. These tools are executed by inclusive, multidisciplinary teams, that use them to monitor, validate and benchmark AI systems. It will all come down to ex ante and life-cycle auditing.

The new European rules will forever change the way AI is formed. Pursuing trustworthy AI by design seems like a sensible strategy, wherever you are in the world.

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Shaping the Law of AI: Transatlantic Perspectives

Stanford-Vienna Transatlantic Technology Law Forum, TTLF Working Papers No. 65, Stanford University (2020).

New Stanford innovation policy research: “Shaping the Law of AI: Transatlantic Perspectives”.

Download the article here: Kop_Shaping the Law of AI-Stanford Law

The race for AI dominance

The race for AI dominance is a competition in values, as much as a competition in technology. In light of global power shifts and altering geopolitical relations, it is indispensable for the EU and the U.S to build a transatlantic sustainable innovation ecosystem together, based on both strategic autonomy, mutual economic interests and shared democratic & constitutional values. Discussing available informed policy variations to achieve this ecosystem, will contribute to the establishment of an underlying unified innovation friendly regulatory framework for AI & data. In such a unified framework, the rights and freedoms we cherish, play a central role. Designing joint, flexible governance solutions that can deal with rapidly changing exponential innovation challenges, can assist in bringing back harmony, confidence, competitiveness and resilience to the various areas of the transatlantic markets.

25 AI & data regulatory recommendations

Currently, the European Commission (EC) is drafting its Law of AI. This article gives 25 AI & data regulatory recommendations to the EC, in response to its Inception Impact Assessment on the “Artificial intelligence – ethical and legal requirements” legislative proposal. In addition to a set of fundamental, overarching core AI rules, the article suggests a differentiated industry-specific approach regarding incentives and risks.

European AI legal-ethical framework

Lastly, the article explores how the upcoming European AI legal-ethical framework’s norms, standards, principles and values can be connected to the United States, from a transatlantic, comparative law perspective. When shaping the Law of AI, we should have a clear vision in our minds of the type of society we want, and the things we care so deeply about in the Information Age, at both sides of the Ocean.

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