Topics of interest

Conference Table 1 – Democracy and artificial intelligence: In the last decade, politically stable countries with a long-held and firm commitment to freedom of expression have witnessed their public debates plunge into an abyss. On social network platforms, anonymous and insidious mass manipulation techniques have corrupted public opinion. Democracy has spawned its opposite, electing leaders who pit themselves against the Democratic Rule of Law. At the center of the global revolution, shady strategies implemented by ultra-complex algorithms have learned how to exploit the fears and desires of crowds and individuals to engender fanaticism and irrationality. Politics has lost connection with the knowledge of factual truth, while obscurantist leaders strive to undermine fundamental rights, science, and human dignity. Can technology be used to advance barbarism and destroy civilization? Is there a limit to this vicious cycle? Is there an alternative? How can we overcome the era of disinformation in which we find ourselves shipwrecked? Some of the main topics of interest in this conference table include:

  • Use of personal data for the purpose of manipulating individuals and groups
  • Artificial intelligence geared towards behavioral targeting advertising
  • Protective legislation: the dilemma between respecting freedom of expression and combating fraud that violates the right to information
  • The processes through which private messaging services (e.g. WhatsApp) have become conduits for invasive political/partisan advertising
  • Potential uses of blockchain and artificial intelligence to combat and contain the disinformation industry

Conference Table 2 – Ethical artificial intelligence and the ethics of artificial intelligence: Artificial intelligence is now found in personal assistants, vaccines, autonomous vehicles, computer-assisted surgery, trading systems, distance learning, digital media, e-commerce, as well as in a multitude of other applications. High-performance algorithms and machine learning or deep learning techniques are used to facilitate our daily routine, improve the quality of life, and reduce inequality between classes, social groups, and countries. However, as AI techniques are not always structured by the systems that regulate the life of societies, a vast array of ethical and moral problems have since emerged. Some of the main topics of interest in this conference table include:

  • Ethics and decision-making in technological interfaces
  • Personal data and the right to privacy in the digital world
  • Algorithmic surveillance and discrimination
  • Corporate ethics and diversity policies in the computerized society
  • Transparency and social control over artificial intelligence systems
  • Artificial intelligence technologies and inequalities
  • Biometrics, facial recognition, and algorithm bias
  • Explainability and interpretability

Table 3 – Artificial intelligence and the future of work: Artificial intelligence is often compared to electricity given its role as a general use technology applied across all activities. The impact of AI on work is potentially universal, enabling automation developments in every economic sector, from industry to health services, from agriculture to finance, from mobility to entertainment. Artificial intelligence now pervades domains once regarded beyond the reach of machines, such as research, evaluation procedures, decision-making, and even the so-called creative activities. The future of work is at stake. Will artificial intelligence replace human labor or make it more productive and rewarding? What will happen to the workforce displaced by technology? How to train and qualify professionals for this new technological age? How will labor laws adapt to crowdworking and other new frontiers in labor relations? How to ensure transparency and equity in labor management? Some of the main topics of interest in this conference table include:

  • Impacts of artificial intelligence on job creation and destruction
  • Labor relations in the platform economy
  • Legislation and regulation of labor on demand
  • Education systems and new demands for professional qualification
  • Artificial intelligence and selection bias in professional recruitment platforms
  • The use of artificial intelligence for promoting workplace diversity