AI Humanity AI in Emerging Countries: Public Policies and the Future of Work

Mapping, understanding, and addressing the impact of AI in emerging countries.

Leaders: Glauco Arbix, João Paulo Veiga

Societies are increasingly delegating to AI systems many complex and risk-intensive decisions, such as diagnosing patients, hiring workers, granting parole, and managing financial transactions. At the same time, there is significant consensus that in the field of AI, emerging countries are lagging behind pioneering countries, in particular the USA and China.

Countries like Brazil urgently need to get closer to the best practices in AI. To that end, they must develop strategies to qualify professionals, move forward in building a specific ecosystem and in developing public policies aimed at realizing the country's potential. Moreover, AI, automation and rapid digitalization may favor the reduction of employment and alter the labor market; the use of biometric techniques can accentuate prejudices; the performance of companies without a base of values ​​can erode ethical and even democratic principles adopted by society.

It is necessary to examine novel questions around liability regarding the limits of current regulatory frameworks in dealing with disparate and unexpected impacts and in preventing algorithmic harms to society. Given AI’s broad impact, these pressing questions can only be successfully addressed from a multi- disciplinary perspective.

Goals

  1. Analyze the impacts of AI on individual job search strategies, company recruitment policies, corporate ethics, and the definition of professional qualifications.
  2. Identify the new skills required by AI and define guidelines for the qualification of professionals in order to mitigate the impact on employment and the increase in inequality.
  3. Assess the progress of biometric techniques and the regulatory framework in formation in the country, in order to guarantee security and privacy of personal data.
  4. Develop the debate on corporate ethics, regulation and self-regulation.
  5. Classify Brazilian companies based on indicators for corporate ethics and compare them to international indicators.
  6. Analyze the relationship between the quality of information of public interest and the quality of democracy.
  7. Explore the interactions between humans and intelligent social robots, with special attention to the social, cultural and economic context, in order to formulate guidelines and protocols for the development and application of technology aimed at establishing safe and ethical relationships between humans and machines.

Team

  • Name

    Relevant Information

  • Glauco Arbix
    USP
  • João Paulo Veiga
    USP
  • Sarajane Peres
    USP
  • Alvaro Comin
    USP
  • Murillo Marschner de Brito
    USP
  • Gustavo Macedo
    USP
  • Thiago Meireles
    USP
  • Lorena Barberia
    USP
  • Vitor Blota
    USP
  • Jonatas Mendonça
    USP
  • Rodrigo Brandão
    USP
  • Eugenio Bucci
    USP
  • Dora Kaufman
    PUC-SP
  • Maria Marinho
    Mackenzie - SP
  • Leopoldo Weizbort
    USP
  • André Nahoum
    USP
  • Lorena Barberia
    USP