Suchergebnisse für Machine Learning

Insider Trading im digitalen Zeitalter: Neue Herausforderungen und Risiken

Insider trading has existed since the launch of the very first organized trading venues and is now prohibited in most jurisdictions. The growing digitalization of the financial industry is adding several layers of complexity to the topic and creating both new risks and opportunities for market participants. First, digitalization brings about a higher interconnectivity between the global financial…

Do Robots Rule Wealth Management? A Brief Legal Analysis of Robo-Advisors

What are the legal duties of robo-advisors in Switzerland? In this article, we focus on the legal framework arising from Swiss financial market law, contract law and data protection law. We also make a comparison with European law. We first explain how robo-advisors work and conclude that, contrary to what their name may suggest, they are primarily portfolio managers. As financial service providers…

KI Sandboxen für die Schweiz?

A sandbox allows companies to test innovative products, services, and business models in a live market environment. Stemming originally from the FinTech sector, sandboxes have recently gained importance, especially in the context of artificial intelligence, where they are intended to serve to resolve the conflict between data protection and innovation by allowing innovation while ensuring that…

Editorial

L’essor de la digitalisation touche tous les secteurs de la vie quotidienne et de l’économie. L’accès aux données, leur protection, leur utilisation notamment pour le développement de l’intelligence…

Regulierung von künstlicher Intelligenz für FinTech-Anwendungen

New methods of artificial intelligence represent one of the greatest promises and most prospective developments of digitalisation. Artificial intelligence has already enabled numerous innovative applications in the areas of image recognition, medicine, language and mobility, and it is also increasingly being used in the financial market, on which this article focuses. In addition to great…

Intelligence artificielle: la titularité des données

Data are at the heart of AI systems. Without data, AI systems are valueless. Data come into play at different phases, both at the input level (training sets, validating sets, testing sets), as well as at the output level. Although the Proposal for AI Regulation released on 21 April 2021 by the European Commission offers a promising regulatory framework as to the governance related to the design…

Big Data and the Law: a holistic analysis based on a three-step approach – Mapping property-like rights, their exceptions and licensing practices

Given Big Data’s increasing importance, it seems important to develop a clear and coherent body of law and to organize the different relationships among all stakeholders and legal regimes that grant different property-like rights. There are already numerous studies on the interactions between Big Data and intellectual property and/or privacy, but less that map all legal regimes, including the…

Editorial

Die Digitalisierung verändert immer weitere Be­reiche des täglichen Lebens und der Tätigkeiten von Unternehmen und Behörden. Betroffen sind auch Handlungen, die seit jeher von Menschen ausgeführt…

Automatisierte Entscheidungen: Grundfragen aus der Perspektive des Privatrechts

Data protection law addresses the issue that more and more (complex) decisions are taken automatically. A closer look at the regulatory approaches of the General Data Protection Regulation (GDPR), the Council of Europe’s Convention 108 and the draft Swiss Federal Act on Data Protection (draft FADP) leads to two conclusions. On the one hand, the scope of application of these provisions is too…

Automatisierte Entscheidungen: Perspektive Grundrechte

Automated decisions affect the legal system in a wide variety of areas. In a state governed by the rule of law, fundamental rights are of great importance; their ­validity can lead to a conflict with «results» produced by algorithms. The article examines five areas (employment relationships, biomedical «environment», moderation of online content, financial markets, procedural guarantees) and,…

Robot Recruiting

«Robot recruiting» refers to the automation of the recruiting process using data driven technologies. More than half of HR managers expect artificial intelligence to become part of their daily routine in just a few years’ time. Hiring algorithms are said to make hiring more consistent and efficient and even have the potential to remove interpersonal bias from the hiring process. But critics argue…

Algorithmen als Anlass für einen neuen Absprachebegriff?

Traditionally, cartels are concluded between natural persons whose behaviour then is imputed to the firms they are acting for. How shall we assess restrictions of competition emanating not from humans, but from algorithms? Long-established definitions of agreements as «concurrence of wills» or «meeting of the minds» do not fit well to the output of machines. Therefore, competition law is…

Pouvoir de marché dans le secteur numérique: l’accès à de larges quantités de données est-il suffisant?

In the digital sector, access to large sets of data may provide strategic advantages and thus raises the question as to whether it may be the source of market power within the meaning of competition law. In light of recent case law, we argue that access to big data may confer such power only when particular conditions are met. The data at stake should notably be correlated to specific users. In…

Verwendung von Software aus dem Bereich der künstlichen Intelligenz bei der Due Diligence im M&A- und Kapitalmarktbereich

This article is a first review of how artificial intelligence could be used in M&A and capital markets due dili­gence. Today available products have similar fields of application and functionality. They are mainly used in contract review. Their core function is to help to identify clauses of a certain type and to provide first summaries of contracts. They all have the ability to learn and thereby…

Die Zukunft des digitalisierten Rechnungswesens

The digitization of economics does not only effect parts on an entity but the entire value chain, notably inclusive of the accounting department. Should we have to expect a revolution in such a way that millions of bookkeepers will be replaced by machines in the near-future? Or do these new technologies have the potential to automate routine tasks while supporting more complex, non-routine…