Short answer
When designing AI systems, actively explore and implement a broader spectrum of ethical mitigation strategies beyond the most obvious ones.
- Field
- Innovation & Design
- Source
- AI & Society (2021)
- Method
- Case Study Analysis
- Sample
- 10 case studies
- Evidence
- Moderate effect
Companies are aware of and actively engage with the ethical challenges posed by AI, yet they tend to utilize only a fraction of the available mitigation strategies. This innovation & design research insight is drawn from a 2021 study published in AI & Society. Using Case study analysis with 10 case studies, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing AI systems, actively explore and implement a broader spectrum of ethical mitigation strategies beyond the most obvious ones.
Organisations Proactively Address AI Ethics, But Employ Limited Mitigation Strategies
Companies are aware of and actively engage with the ethical challenges posed by AI, yet they tend to utilize only a fraction of the available mitigation strategies.
AI & Society · 2021
Key Findings
- 01Organizations are highly aware of the AI ethics debate and proactively engage with ethical issues.
- 02Organizations utilize a relatively small subset of the mitigation strategies proposed in the literature.
Application
Design takeaway
When designing AI systems, actively explore and implement a broader spectrum of ethical mitigation strategies beyond the most obvious ones.
How to apply
When developing AI products or systems, conduct a thorough review of available ethical mitigation strategies and ensure their practical implementation is considered from the outset.
Project actions
- 01When researching AI ethics, look for practical implementation examples, not just theoretical discussions.
- 02Consider how your design project can make ethical solutions easier for organizations to adopt.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides empirical evidence on a topic often dominated by theoretical discussion.
- +Offers a categorization of organizational responses to AI ethics.
Limitations
The findings are based on case studies, which might not be generalizable to all types of organizations or AI applications.
Reliability & validity
The use of multiple case studies enhances the reliability and validity of the findings by providing a broader perspective than a single case.
Think critically
Why might organizations be hesitant to adopt a wider range of AI ethical mitigation strategies, even when aware of them?
Design Principles
"Proactive ethical integration in AI development requires a comprehensive approach to mitigation."
This highlights a gap between theoretical ethical frameworks for AI and practical implementation within organizations. Designers and engineers need to understand this discrepancy to better integrate ethical considerations into their development processes and to advocate for the adoption of a wider range of mitigation techniques.
What This Means for Your Design
Companies know AI can be unethical and want to fix it, but they only use a few of the available fixes.
How to use in your project
- 1.Use this research to justify the selection of specific ethical mitigation strategies in your design project.
- 2.Discuss the gap between theoretical ethical frameworks and practical organizational adoption as a context for your design choices.
Add to My Project
Quick Cite
Paragraph starter
This research indicates that while organizations are aware of AI ethical issues and aim for proactive engagement, they often employ a limited range of mitigation strategies. This suggests a need for design solutions that facilitate the broader adoption and practical implementation of ethical frameworks within organizational contexts.
Source
AI & Society
Organisational responses to the ethical issues of artificial intelligence
journal · 2021
View sourceQuestions About This Research
- What does the research say about organisations proactively address ai ethics, but employ limited mitigation strategies?
- When designing AI systems, actively explore and implement a broader spectrum of ethical mitigation strategies beyond the most obvious ones. Evidence: AI & Society (2021).
- Why does "Organisations Proactively Address AI Ethics, But Employ Limited Mitigation Strategies" matter for design?
- This highlights a gap between theoretical ethical frameworks for AI and practical implementation within organizations. Designers and engineers need to understand this discrepancy to better integrate ethical considerations into their development processes and to advocate for the adoption of a wider range of mitigation techniques.
- How can designers apply this research?
- When designing AI systems, actively explore and implement a broader spectrum of ethical mitigation strategies beyond the most obvious ones.
- What were the main findings?
- Organizations are highly aware of the AI ethics debate and proactively engage with ethical issues.. Organizations utilize a relatively small subset of the mitigation strategies proposed in the literature.
- What research method was used?
- Case Study Analysis with 10 case studies.
- How strong is the evidence?
- Evidence strength is rated Moderate effect, based on a 2021 journal from AI & Society.
- What should I do differently in my next project?
- When developing AI products or systems, conduct a thorough review of available ethical mitigation strategies and ensure their practical implementation is considered from the outset.
- What are the limitations?
- The study focuses on organizations' stated awareness and actions, which may not fully capture internal complexities or potential discrepancies between policy and practice.