WAILabs

Coding

WAILabs is on a mission to conduct, facilitate and promote research led by our community in the field of Artificial Intelligence.  

Our Mission

Women in AI founded WAILabs, an initiative for conducting interdisciplinary and inclusive research on Artificial Intelligence (AI), with a specific focus on bias and fairness. Join us to become part of WAILabs, the global research hub bringing together AI and DEI (Diversity, Equity, Inclusion) perspectives for conducting research and producing tangible results for practice and society. We aim to initiate and mentor research by our community members in collaboration with global stakeholders. We believe that AI can only be truly diverse when we increase intellectual diversity through personnel diversity.

+++ ANNOUNCEMENT +++

+++ D&I SEMINAR AT IJCAI-ECAI 2022 +++

Towards Diversity, Equity and Inclusion (DEI) in AI Research 

 

Impact of policy, or introduction of new technology on socio-technical systems has been studied through the lens of actor and system complexity (de Bruijn & Herder, 2009). Conceptual tools exist to think through massive changes at a systemic level. Datasets, stakeholder representatives, and real understanding of societal problems have a significant effect on shaping technological artifacts ​​(Shreenath, 2019). The introduction of AI in the everyday life of citizens demands systematic studies of these aspects and transparency in technology development.

 

There is an increasing number of examples of how AI technology may maintain, strengthen or reproduce bias. Beyond technology development and evaluation as such, product design and marketing may also express bias. Thus, major ethical issues and a growing concern among citizens about the use of AI have emerged. However, inclusion of diverse perspectives at all stages of technology development and uptake can mitigate these risks. Representation of stakeholders - those who contribute to the creation of AI technology and those who are impacted by AI - is crucial to ensure the development of ethical AI and equal spread of its benefits.

 

The main goals of the seminar are to:

  • Develop a network of researchers conducting DEI research in AI, and those interested in learning about it and incorporating it in their own work and build connections for future collaborations. 

  • Reflect on the current situation and best practices for ensuring DEI in AI

  • Encourage participants to uptake DEI in AI research and take action regarding DEI in their working environment. 

Schedule

Schedule IJCAI D & I Event by Women in AI

Towards Diversity, Equity and Inclusion (DEI) in AI Research

July 23 (Saturday)

Afternoon (14:00pm-17:30pm)

Gallerie 9-10

14:00 Opening and Welcome by the Organizers: Vinutha & Marisa

14:30 Keynote Elizabeth Adams, Chief AI Ethics & Culture Advisor - Leadership of Responsible AI™

 

15:00 Lightning Talks Part 1

Erin Young. ‘Women in Data Science and AI’ at The Alan Turing Institute: Mapping gender gaps and inequalities in data and AI

 

Anna Lukina. Borderless: Diversity of Academic and Industrial Careers across Continents

 

Mirthe Dankloff. Transparent Bias Assessment in the Public Sector

 

Rachele Carli. BEYOND THE CONCEPT OF VULNERABILITY: REGULATING AI FOR HUMANITY

 

Abigail Oppong. Detecting and Mitigating Gender Bias in Natural Language Processing, a case study of English-Akuapem Twi Machine translation

 

16:00 - 16:30 Networking and further discussions

 

16:30 - 17:30 Lightning Talks Part 2

 

Sylwia Majchrowska, Marta Plantykow, Milena Olech. HearAI: Where AI Supports Inclusion of Deaf and Hearing-Impaired Individuals

 

Vibha Gupta. ENSEMBLE AND DEEP LEARNING BASED APPROACHES FOR MICROSCOPY IMAGE ANALYSIS

 

Anna Pietruszka. Language our natural asset - how we can use AI to empower women who were excluded from their labor markets

 

Sylwia Majchrowska. Trustworthy AI for decision support in dermatology

 

17:25 Farewell and informal Get-Together afterwards!

Organizing Committee

  • Vinutha Magal Shreenath (Workshop Co-Chair)

  • Marisa Tschopp (Workshop Co-Chair)

  • Katerina Pastra (Program Co-Chair)

  • Hanan Salam (Program Co-Chair)

 

Affiliation of Committee: This workshop is organized by members of the WAI Labs, the research department of the non-profit organization Women in AI (www.womeninai.co

 

Program committee: Please contact Marisa at marisa [at] womeninai.co if you would like to be part of the program committee.

Sponsors 

AI SWEDEN

AI Sweden is the Swedish national center for applied artificial intelligence. Our mission is to accelerate the use of AI for the benefit of our society, our competitiveness, and for everyone living in Sweden. 

https://www.ai.se/en

Partners

TechFace, SwissCognitive

References

de Bruijn, H., & Herder, P. M. (2009). System and Actor Perspectives on Sociotechnical

Systems. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and

Humans, 39(5), 981–992. https://doi.org/10.1109/TSMCA.2009.2025452

 

Shreenath, V. M. (2019). Creating Knowledge with Data Science for Design in Systems [PhD

Thesis]. KTH Royal Institute of Technology.


Meet WAI Labs Team

WAILabs:
Get in touch!

  • Are you looking for an inclusive and diverse network of female researchers?

  • Do you want to be part of our growing female research community?

  • Are you looking for research collaboration? Event collaboration?

  • Mentoring collaboration?

There are many more opportunities for synergy and we look forward to hearing from you!

Please contact us to discuss your ideas marisa [at] womeninai.co