ANALYSIS

 

ETHICS ANALYSIS —

Ethical issues arise in every stage of innovation: research, design, development, manufacturing, deployment, and even updating. Our aim is to solve these ethical problems early on before we proceed to the next stage. Doing so not only helps finetune the technology for the better but also avoid wasted resources and public scandals.

How do we do that?

  • Longitudinal: Ethics experts join the project team and provide ethics analysis and consulting from early stages of the product development until the product release.
  • Immediate: Ethics experts join in to analyze specific aspects of the product or the project.
  • Mentorship (both for longitudinal and immediate analyses): “Office hours” during which ethics experts are available to answer or work out any ethics questions or concerns you might have.

Ethics analyses are meant to be collaborative. Our ethics experts do not come in to police developers and researchers, they are there to help them create better technologies. In our ERD model, we train creators to detect, flag, and, if possible, solve ethical problems they encounter. But complex questions require rigorous and robust expert analysis.

✉️ To request an assessment of your company / organization and discuss implementing the ERD model, please contact us at contact@aiethicslab.com.

(Featured image by GiF Design Studios)

 

OUR ETHICS PUZZLE-SOLVING MODEL IN AI

Read our Forbes AI article, “A New Model for AI Ethics in R&D”, for more information on our model.

Watch the Lab’s director, Cansu Canca, present our model at Mozilla Festival, Dialogues & Debates.

 

At the AI Ethics Lab, we developed our Ethics Puzzle-Solving Model to effectively and fully integrate ethics into building and using AI systems.

Our model consists of 3 components, which together provide a comprehensive approach to ethics. Yet, each one of these components can also be implemented in isolation. These are,

(1) Ethics Trainingproviding skills and tools for researchers, developers, engineers, and designers to detect and work out ethical problems

(2) Ethics Analysis:  embedding ethics analysis into the process of building and deploying AI systems

(3) Ethics Strategydeveloping organizational processes and decision-making systems for recurrent ethical questions

We argue that the ERD model provides a meaningful way of integrating ethics into innovation, where ethics complements and enhances AI technologies. In our model, ethicists are not sitting in an isolated board to police developers, researchers, and the management—they are trusted collaborators of practitioners, working together to improve technologies.

ERD model can be implemented fully (with all 3 components) or partially within companies, start-ups, research centers, and incubators.