Re-Entering Computing through Emerging Technology

Rahman, Farzana; Billionniere, Elodie

doi:10.1145/3446840

Cited by 5 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One major cause is the lack of diversity among the stakeholders responsible for developing such technologies [16,24]. Thus, it is critical for the AI community, including those of us in the field of human-robot interaction (HRI), to address this lack of diversity, acknowledge its impact on technology development, [5,7] and seek solutions to ensure diversity and inclusion [15].…”

Section: Introductionmentioning

confidence: 99%

Inclusive HRI II

Tanevska

Chandra

Barbareschi

et al. 2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

View full text Add to dashboard Cite

published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User

show abstract

Section: Introductionmentioning

confidence: 99%

Inclusive HRI II

Tanevska

Chandra

Barbareschi

et al. 2023

Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

View full text Add to dashboard Cite

show abstract

“…The use of female and masculine voices / robots in serviceable and medical contexts reinforces gender stereotypes about the role women and men should (or should not) play in society [17]. These are usually biases rooted in oppressive gender inequalities that have existed throughout history and are typically exacerbated by the lack of diversity of the technical teams developing algorithms and robots, which usually work in companies with significant gender disparities in their board of directors [18], [19]. Similar concerns are found in other AI applications, namely in algorithms for medical applications [20], gender…”

Section: Introductionmentioning

confidence: 99%

Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community

Graaf

Perugia

Fosch‐Villaronga

et al. 2022

2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

View full text Add to dashboard Cite

Discrimination and bias are pressing issues of many AI and robotics applications. These outcomes may derive from limited datasets that do not fully represent society as a whole or from the AI scientific community's western-male configuration bias. Although being a pressing issue, understanding how robotic systems can replicate and amplify inequalities and injustice among underrepresented communities is still in its infancy among social science and technical communities. This workshop contributes to filling this gap by exploring the research question: What do diversity and inclusion mean in the context of Human-Robot Interaction (HRI)? Here, attention is directed to three different levels of HRI: the technical, the community, and the target user level. Overall, this workshop will focus on the idea that AI systems can be created to be more attuned to inclusive societal needs, respect fundamental rights, and represent contemporary values in modern societies by integrating diversity and inclusion considerations.

show abstract

“…The goal of the conference was to provide a platform to share experiential knowledge and evidence-based findings, and to provide comments and suggestions about how the enrollment, retention, recruitment, and employment opportunities of returning women may be improved through different efforts like research, practice, policy, and evaluation. As a result of the conference, the advisory board and organizing team developed actionable recommendations for actions that industry, academia, non-profit, policymakers and government agencies, can take to strengthen the pipeline for (re-)entering into computing and technology domain [11][12][13][14][15]. In this paper, we present the qualitative and quantitative results on conference attendee's satisfaction level and its effectiveness in identifying appropriate resources to (re-)enter EmTech educational and professional pipeline.…”

Section: Introductionmentioning

confidence: 99%

NSF RESET: A Conference to Support Returning Women’s Transition to Computing and Technology Discipline

Rahman,

Billionniere,

Sulugodu Shashidhara

2022 ASEE St. Lawrence Section Annual Conference Proceedings

View full text Add to dashboard Cite

The disparity of women in STEM (Science, Technology, Engineering, and Mathematics) discipline have been a persistent problem in the United States of America. Research suggests that women who join STEM discipline leave very frequently to care for their families, financial setbacks, personal obligations, and call to active-duty program. Returning women, very rarely choose to pursue STEM education or cannot enter the STEM workforce because -1) these fields are constantly evolving; 2) the technical preparations can be challenging or unknown; 3) technical skills development require a lot of time and effort; 4) there are not enough transitional programs which can leverage the existing background of returning women to develop new knowledge; and 5) industry and academia do not have enough knowledge to create diverse reentry pathways to prepare returning women for the 21st century workforce environment. Some niches within the STEM field, like Emerging Technology (EmTech) concentrations (e.g., cybersecurity, data science, artificial intelligence, and cloud computing), are expected to grow job opportunities more quickly than others. The demands of these jobs can only be fulfilled by creating opportunities for one of the largest untapped talent pools, which is returning women. Therefore, to understand the barriers and challenges faced by returning women to enter computing and tech education and workforce, a three-day virtual conference, RESET (Re-enter STEM through Emerging Technology), was organized in March 2021. Through our experience in organizing a large-scale national conference, we surveyed 444 attendees (conference organizers and participants) to investigate their level of satisfaction and the overall effectiveness in helping returning women facilitating their transition to computing and technology discipline. In this paper, we present the qualitative and quantitative results on conference attendee's satisfaction level and its effectiveness in identifying appropriate resources to (re-)enter EmTech educational and professional pipeline.

show abstract

Re-Entering Computing through Emerging Technology

Cited by 5 publications

References 3 publications

Inclusive HRI II

Inclusive HRI II

Inclusive HRI: Equity and Diversity in Design, Application, Methods, and Community

NSF RESET: A Conference to Support Returning Women’s Transition to Computing and Technology Discipline

Contact Info

Product

Resources

About