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Didar Zowghi

Professor of Software Engineering, Deputy Dean of Graduate Research School, UTS. Associate Editor of IEEE Software

Prof Didar Zowghi is a distinguished academic and researcher in the field of Software Engineering. She is currently a Senior Principal Research Scientist at CSIRO's Data61, where she leads research teams in "Diversity and Inclusion in AI" and "Requirements Engineering for Responsible AI".1 In 2022, she was awarded the title of Emeritus Professor at the University of Technology Sydney (UTS) and Conjoint Professor at the University of New South Wales (UNSW).12

Prof Zowghi has had a long and successful career in academia, having worked at UTS for over 20 years before joining CSIRO's Data61 in January 2022.1 During her time at UTS, she held several leadership positions, including:

  • Deputy Dean of Graduate Research School
  • Director of the research centre for Human-Centred Technology Design
  • Director of Women in Engineering and IT
  • Associate Dean1

Her research focuses on improving software development processes and products, with a particular emphasis on Requirements Engineering (RE).1 Prof Zowghi is an expert in "Evidence-based" and "Human-centred design" research paradigms, as well as socio-technical aspects of software development.1

Prof Zowghi has made significant contributions to her field, having published over 230 research articles in prestigious conferences and journals.1 She has received numerous accolades, including:

  • IEEE Computer Society's TCSE Distinguished Educator award in 20221
  • Lifetime Service Award from IEEE in 2019 for her leadership in the Requirements Engineering research community1

Prof Zowghi is also known for her advocacy for diversity and inclusion in the workplace, particularly in promoting gender and racial equality.1 She has mentored many students and academic staff in their career progression and decision-making, both in Australia and internationally.1

Highlights

Dec 2 · linkedin

Generative AI is a valuable tool in the workplace. But a new study advises that it should only be used with careful scrutiny—because of its discrimination against women. The researchers asked two large language model chatbots—ChatGPT and Alpaca, a model developed by Stanford University—to produce recommendation letters for hypothetical employees. In a paper shared on the preprint server arXiv.org, the authors analyzed how the LLMs used very different language to describe imaginary male and female workers.

“We observed significant gender biases in the recommendation letters,” says paper co-author Yixin Wan, a computer scientist at the University of California, Los Angeles. While ChatGPT deployed nouns such as “expert” and “integrity” for men, it was more likely to call women a “beauty” or “delight.” Alpaca had similar problems: men were “listeners” and “thinkers,” while women had “grace” and “beauty.” Adjectives proved similarly polarized. Men were “respectful,” “reputable” and “authentic,” according to ChatGPT, while women were “stunning,” “warm” and “emotional.” Neither OpenAI nor Stanford immediately responded to requests for comment from Scientific American.

https://lnkd.in/gw2dj_xD

#diversityandinclusion #biasinai #genderbias #generatieveai

Jun 22 · linkedin

CSIRO's Data61 is looking for excellent applicants to apply for 44 great PhD scholarships just advertised. These include two exciting new projects with our #diversityandinclusion in AI systems research that I lead.

If you are interested, contact me. If you know anyone looking for an exciting PhD project and great scholarship please share the link. The deadline for submission of applications is 08 July 2022. 👇

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Didar Zowghi
Didar Zowghi, photo 1
Didar Zowghi, photo 2
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Location

Greater Sydney Area