Constructing and restraining the societies of surveillance: Accountability, from the rise of intelligence services to the expansion of personal data networks in Spain and Brazil (1975-2020)

541 p.The objective of this study is to examine the development of socio-technical accountability mechanisms in order to: a) preserve and increase the autonomy of individuals subjected to surveillance and b) replenish the asymmetry of power between those who watch and those who are watched. To do so, we address two surveillance realms: intelligence services and personal data networks. The cases studied are Spain and Brazil, from the beginning of the political transitions in the 1970s (in the realm of intelligence), and from the expansion of Internet digital networks in the 1990s (in the realm of personal data) to the present time. The examination of accountability, thus, comprises a holistic evolution of institutions, regulations, market strategies, as well as resistance tactics. The conclusion summarizes the accountability mechanisms and proposes universal principles to improve the legitimacy of authority in surveillance and politics in a broad sense

Automating Society : Taking Stock of Automated Decision-Making in the EU

This is the first comprehensive study regarding the state of automated decision-making in Europe. Experts have looked at the situation at the EU level but also in 12 Member States: Belgium, Denmark, Finland, France, Germany, Italy, Netherlands Poland, Slovenia, Spain, Sweden and the UK. They assessed not only the political discussions and initiatives in these countries but also present a section "ADM in Action" for all states, listing examples of automated decision-making already in use

Automating Society: Taking Stock of Automated Decision-Making in the EU. BertelsmannStiftung Studies 2019

Imagine you’re looking for a job. The company you are applying to says you can have a much easier application process if you provide them with your username and password for your personal email account. They can then just scan all your emails and develop a personality profile based on the result. No need to waste time filling out a boring questionnaire and, because it’s much harder to manipulate all your past emails than to try to give the ‘correct’ answers to a questionnaire, the results of the email scan will be much more accurate and truthful than any conventional personality profiling. Wouldn’t that be great? Everyone wins—the company looking for new personnel, because they can recruit people on the basis of more accurate profiles, you, because you save time and effort and don’t end up in a job you don’t like, and the company offering the profiling service because they have a cool new business model

Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new industry is envisaged: auditing and assurance of algorithms with the remit to validate artificial intelligence, machine learning, and associated algorithms

John D. and Catherine T. MacArthur Foundation - 2006 Annual Report

Contains president's essay, grant summaries, profiles of MacArthur Fellows Program award recipients, timeline of the year in review, financial statements, and list of officers and staff

Bridging the AI Inventorship Gap

In Thaler v. Vidal, the U.S. Court of Appeals for the Federal Circuit ruled that an artificial intelligence (AI) machine cannot be an inventor under patent law. This decision leaves open the question of whether a natural person can be the legal inventor of AI-generated inventions. This is a pressing question because it decides whether AI-generated inventions are patentable, as no patent rights can exist without an inventor. Scholars have proposed two doctrines that might resolve this question: (1) the doctrine of simultaneous conception and reduction to practice and (2) the doctrine of first to recognize and appreciate. This Note analyzes the two doctrines and argues that neither doctrine readily applies to AI-generated inventions, thereby leaving an “inventorship gap.” Because the current patent system is ill-equipped to deal with the inventorship of AI-generated inventions, Congress should adopt and repurpose copyright law’s work-for-hire doctrine and recognize the natural person using the invention-generating AI as the legal inventor of those inventions. Doing so bridges the inventorship gap, offers certainty as to the patentability of AI-generated inventions, and facilitates the goals of the patent system

E-COMMERCE IN AGRICULTURE: DEVELOPMENT, STRATEGY, AND MARKET IMPLICATIONS

Marketing,