Workshop

DDHT / WDCC Knowledge Management Workshop: Ethics and societal impact of Data Science and Artificial Intelligence

'Algorithms aren’t neutral. And that’s a good thing.’ (David Graus)

Organisator Wageningen Data Competence Center
Datum

di 6 juli 2021 15:00 tot 16:30

Is this statement triggering your attention? In that case we would like to invite you for the first of three workshops on Ethics and societal impact of Data Science and Artificial Intelligence.

Decision-support tools based on data and models are increasingly common in the agrifood domain. However, these support tools are not neutral: certain views on the world and values are embedded in technology design and influence decisions. In this workshop we will explore how we can responsibly deal with societal values in technology design in order to reap the fruits of decision-support tools, while reducing their potential harm.

The questions that are central during the workshop are:

  • How can we responsibly deal with societal values in technology design in order to increase the success rate of decision-support tools as developed in research?
  • How can we avoid hidden preferences in decision-support tools?

Program

1. Introductory presentation on value-sensitive design by Paulan Korenhof (WUR)
Paulan Korenhof is a postdoc researcher on ‘philosophy of technology’ and member of the Digital Twins - Inclusiveness Platform

2. Parallel sessions to reflect on own research

3. Plenary discussion

Registration

If you are interested in this workshop, please register no later than Monday June 21 st.

The workshop is financed by the KB program ‘Data Driven and High Tech’ (DDHT). The Knowledge Management project of this program researches how responsible innovation can be realized. Via three workshops the following objectives are aimed at:

  • Researchers on Data Science & AI know that ethics increases creativity in their research, and integrate ethics in their research projects;
  • Researchers on Data Science & AI know to find the WUR experts on ethics.