Solutions to the Social Problems of Automation

Automation is advancing relentlessly. Already decades ago, digitization was its partner. In the industry, innovative robots, for example co-robots, are used. Service robots begin to spread in various areas. Systems of artificial intelligence perform tasks of all sorts, even creative activities. The studies on the development of the labor market reach different results. In any case, it can be said that certain jobs will disappear and many people will have to do without their familiar work. It can also be assumed that in many areas less human work has to be performed on behalf (e.g., for customers and employers). As possible solutions to economic and social problems, an unconditional basic income and a robot tax are suggested. The paper „Are Robot Tax, Basic Income or Basic Property Solutions to the Social Problems of Automation?“ by Oliver Bendel presents, discusses and criticizes these approaches in the context of automation and digitization. Moreover, it develops a relatively unknown proposal, unconditional basic property, and presents its potentials as well as its risks. Oliver Bendel will introduce his ideas at the AAAI spring symposium „Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness“ at Stanford University in late March 2019. More information via aaai.org/Symposia/Spring/sss19.php.

Fig.: At Stanford University

About Basic Income and Basic Property

Automation is advancing relentlessly. Already decades ago, digitization was its partner. In the industry, innovative robots, for example co-robots, are used. Service robots begin to spread in various areas. Systems of artificial intelligence perform tasks of all sorts, even creative activities. The studies on the development of the labor market reach different results. In any case, it can be said that certain jobs will disappear and many people will have to do without their familiar work. It can also be assumed that in many areas less human work has to be performed on behalf (e.g., for customers and employers). As possible solutions to economic and social problems, an unconditional basic income and a robot tax are suggested. The paper „Are Robot Tax, Basic Income or Basic Property Solutions to the Social Problems of Automation?“ by Oliver Bendel presents, discusses and criticizes these approaches in the context of automation and digitization. Moreover, it develops a relatively unknown proposal, unconditional basic property, and presents its potentials as well as its risks. The ethicist from Zurich will share his results between 25 and 27 March 2019 at the AAAI Spring Symposia (Stanford University).

Fig.: A nice property in Hawaii

Zum Grundeigentum an der Stanford University

Die Studien zur Arbeitsmarktentwicklung ab 2020 gelangen zu unterschiedlichen Ergebnissen. Man kann aber auf jeden Fall sagen, dass bestimmte Arbeitsplätze wegfallen und viele Menschen ohne ihre vertraute Arbeit sein werden. Es ist auch anzunehmen, dass insgesamt weniger menschliche Arbeit im Auftrag (etwa für Arbeitgeber) verrichtet werden muss. Als Lösungen der wirtschaftlichen und sozialen Probleme werden oft bedingungsloses Grundeinkommen und Robotersteuer genannt. Der Beitrag „Are Robot Tax, Basic Income or Basic Property Solutions to the Social Problems of Automation?“ von Oliver Bendel diskutiert und kritisiert diese Ansätze im Kontext von Automatisierung und Digitalisierung. Zudem entwickelt er einen weitgehend unbekannten Vorschlag, das bedingungslose Grundeigentum, weiter und stellt dessen Potenziale ebenso dar wie dessen Risiken. Der Informations- und Maschinenethiker aus Zürich präsentiert seine Ergebnisse zwischen dem 25. und 27. März 2019 bei den AAAI Spring Symposia. Es ist sein sechster Vortrag an der Stanford University innerhalb von vier Jahren.

Abb.: An der Stanford University

Reading Faces

Face recognition is the automated recognition of a face or the automated identification, measuring and description of features of a face. In the 21st century, it is increasingly attempted to connect to the pseudoscience of physiognomy, which has its origins in ancient times. From the appearance of persons, a conclusion is drawn to their inner self, and attempts are made to identify character traits, personality traits and temperament, or political and sexual orientation. Biometrics plays a role in this concept. It was founded in the eighteenth century, when physiognomy under the lead of Johann Caspar Lavater had its dubious climax. In the paper „The Uncanny Return of Physiognomy“, the basic principles of this topic are elaborated; selected projects from research and practice are presented and, from an ethical perspective, the possibilities of face recognition are subjected to fundamental critique in this context, including the above examples. Oliver Bendel presented his paper on 27 March 2018 at Stanford University („AI and Society: Ethics, Safety and Trustworthiness in Intelligent Agents“, AAAI 2018 Spring Symposium Series). The entire volume can be downloaded via AAAI.

Fig.: Reading faces