Artifacts and frames in socio-technical anticipation: The case of responsible AI

Activity: Talk or presentationConference PresentationsResearch

Matti Minkkinen - Speaker

Matti Mäntymäki - Speaker

Markus Philipp Zimmer - Speaker

We study the European Union’s (EU) recent responsible AI strategies and stakeholder responses to them. Responsible AI refers to AI that is designed and used in accordance with human values, such as transparency and accountability (Dignum, 2020). In recent years, the EU has positioned itself as a central player in striving for responsible AI (e.g., European Commission, 2020). Our empirical material includes document material (key EU strategy papers) and expert interviews on the EU’s responsible AI approach. Our main argument is that anticipation promoting responsible AI requires appropriately designed technical artifacts as the necessary condition, while the sufficient condition is provided by the social component, namely stakeholders’ technological frames, foresight frames, and expectation work. Thus, our study theorizes technical artifacts and anticipatory frames as crucial for anticipatory processes.
16.11.2022

Event

Conference - 4th International Conference on Anticipation 2022

16.11.2218.11.22

Tempe, Arizona, United States

Event: Conference

Recently viewed

Publications

  1. New method for assessing the repeatability of the measuring system for roughness measurements
  2. Artificial intelligence
  3. Early Detection of Faillure in Conveyor Chain Systems by Wireless Sensor Node
  4. Changing Data Collection Methods Means Different Kind of Data
  5. Trait-based approaches to analyze links between the drivers of change and ecosystem services
  6. Design, Modeling and Control of an Over-actuated Hexacopter Tilt-Rotor
  7. A framework for business model development in technology-driven start-ups
  8. Control system strategy of a modular omnidirectional AGV
  9. Monitoring of microbially mediated corrosion and scaling processes using redox potential measurements
  10. Comparison of Bio-Inspired Algorithms in a Case Study for Optimizing Capacitor Bank Allocation in Electrical Power Distribution
  11. Managing complexity in automative production
  12. Metrics for Experimentation Programs: Categories, Benefits and Challenges
  13. Robust Control of Excavation Mobile Robot with Dynamic Triangulation Vision
  14. Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway
  15. Designing and evaluating blended learning bridging courses in mathematics
  16. Modeling of lateness distributions depending on the sequencing method with respect to productivity effects
  17. What Makes for a Good Theory? How to Evaluate a Theory Using the Strength Model of Self-Control as an Example
  18. Evaluation of standard ERP software implementation approaches in terms of their capability for business process optimization
  19. Are all errors created equal?
  20. Do connectives improve the level of understandability in mathematical reality-based tasks?
  21. Executive function and Language Learning
  22. TARGET SETTING FOR OPERATIONAL PERFORMANCE IMPROVEMENTS - STUDY CASE -
  23. "And I Think That Is a Very Straightforward Way of Dealing With It''
  24. Design of an Energy Efficient Sensor Node for Wearable Applications
  25. Proxies