Artificial Intelligence for an Open Society
Integrated Summary of Literature and Lectures
Lynn Jansen (1889583)
,Content
Lecture 1 and Elliot et al. (2021) 2
Lecture 2 and Palada et al. (2016) 8
Lecture 3 and Rahwan et al. (2019) 11
Lecture 4 and Douven en Hegselmann (2020) 14
Lecture 5 and Van der Vegt et al. (2023) 18
Lecture 6 and Grimmelikhuijsen en Meijer (2022) CANCELLED 23
Lecture 7 and Wang et al. (2023) 24
1
, Lecture 1 and Elliot et al. (2021)
Towards an equitable digital society: Artificial Intelligence (AI) and Corporate
Digital Responsibility (CDR) | Introduction and IOS
History
- The so-called “what if-men” was the first team that used computer technology to
estimate and predict human behavior using real masses of data, trying to predict the
future.
- The underlying assumption: if we can use technology to replicate human
behavior you can actually avert societal disasters. They turned human
unpredictability into a math equation.
- Simulmatics Corporation was an early pioneer in predicting and simulating human
behavior.
- Cybenko’s Universal approximation theorem mathematically proved that an algorithm
with arbitration precision can reconstruct human characteristics based on every little
decision a human has made online.
Open society and institutions
- An open society is a society that values diversity in knowledge (e.g., science, art,
cultural). It supports emancipatory movements, respects individual rights, upholds
constitutional democracy and the rule of law, and promotes contestable markets and
open borders.
- Institutions are the building blocks of society. These are written rules, associated
organisations, unwritten rules, and networks (e.g., universities, the government,
companies, groups of influence, etc.).
Research into open societies at UU is organized through the Institutions for Open Societies
(IOS) program. IOS studies whether current institutions can handle major societal challenges
(e.g., inequality, climate change, discrimination, distrust in government and science, and the
influence of big tech). The research also explores how institutions can be improved to support
open and resilient societies. AI is on the forefront of societal change, this changes the
underlying structures of the institutions due to changing rules and changing power dynamics.
- IOS brings together expertise from many disciplines, including economics, law,
sociology, history, ethics, and communication. The program involves more than 700
researchers across 4 faculties and 15 research platforms. Different types of AI
applications are used/studied in different contexts.
- The research is divided into three main themes:
- Democracy and Good Governance
- Transitions and Wellbeing
- Equity and Diversity
Each theme contains platforms focused on specific societal issues, such as futures of
democracy, fair transitions, future of work, in/equality, diversity, and open cities (see figure
1.1).
2
Integrated Summary of Literature and Lectures
Lynn Jansen (1889583)
,Content
Lecture 1 and Elliot et al. (2021) 2
Lecture 2 and Palada et al. (2016) 8
Lecture 3 and Rahwan et al. (2019) 11
Lecture 4 and Douven en Hegselmann (2020) 14
Lecture 5 and Van der Vegt et al. (2023) 18
Lecture 6 and Grimmelikhuijsen en Meijer (2022) CANCELLED 23
Lecture 7 and Wang et al. (2023) 24
1
, Lecture 1 and Elliot et al. (2021)
Towards an equitable digital society: Artificial Intelligence (AI) and Corporate
Digital Responsibility (CDR) | Introduction and IOS
History
- The so-called “what if-men” was the first team that used computer technology to
estimate and predict human behavior using real masses of data, trying to predict the
future.
- The underlying assumption: if we can use technology to replicate human
behavior you can actually avert societal disasters. They turned human
unpredictability into a math equation.
- Simulmatics Corporation was an early pioneer in predicting and simulating human
behavior.
- Cybenko’s Universal approximation theorem mathematically proved that an algorithm
with arbitration precision can reconstruct human characteristics based on every little
decision a human has made online.
Open society and institutions
- An open society is a society that values diversity in knowledge (e.g., science, art,
cultural). It supports emancipatory movements, respects individual rights, upholds
constitutional democracy and the rule of law, and promotes contestable markets and
open borders.
- Institutions are the building blocks of society. These are written rules, associated
organisations, unwritten rules, and networks (e.g., universities, the government,
companies, groups of influence, etc.).
Research into open societies at UU is organized through the Institutions for Open Societies
(IOS) program. IOS studies whether current institutions can handle major societal challenges
(e.g., inequality, climate change, discrimination, distrust in government and science, and the
influence of big tech). The research also explores how institutions can be improved to support
open and resilient societies. AI is on the forefront of societal change, this changes the
underlying structures of the institutions due to changing rules and changing power dynamics.
- IOS brings together expertise from many disciplines, including economics, law,
sociology, history, ethics, and communication. The program involves more than 700
researchers across 4 faculties and 15 research platforms. Different types of AI
applications are used/studied in different contexts.
- The research is divided into three main themes:
- Democracy and Good Governance
- Transitions and Wellbeing
- Equity and Diversity
Each theme contains platforms focused on specific societal issues, such as futures of
democracy, fair transitions, future of work, in/equality, diversity, and open cities (see figure
1.1).
2
