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| "paper_id": "2022", |
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| "date_generated": "2023-01-19T12:12:39.681739Z" |
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| "title": "General Chair", |
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| "first": "Bharathi", |
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| "Raja" |
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| "abstract": "Language technologies are now ubiquitous. Yet the benefits of these technologies do not accrue evenly to all people, and they can be harmful; they can reproduce stereotypes, prevent speakers of \"non-standard\" language varieties from participating fully in public discourse, and reinscribe historical patterns of linguistic discrimination. In this talk, I will take a tour through the rapidly emerging body of research examining bias and harm in language technologies. I will offer some perspective on the many challenges of this work, ranging from how we conceptualize and measure language-related harms to how we grapple with the complexities of where and how language technologies are encountered. I will conclude by discussing some future directions towards more equitable technologies.", |
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| "text": "Language technologies are now ubiquitous. Yet the benefits of these technologies do not accrue evenly to all people, and they can be harmful; they can reproduce stereotypes, prevent speakers of \"non-standard\" language varieties from participating fully in public discourse, and reinscribe historical patterns of linguistic discrimination. In this talk, I will take a tour through the rapidly emerging body of research examining bias and harm in language technologies. I will offer some perspective on the many challenges of this work, ranging from how we conceptualize and measure language-related harms to how we grapple with the complexities of where and how language technologies are encountered. I will conclude by discussing some future directions towards more equitable technologies.", |
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| "text": "Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today's large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as 'regression to the mode'. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation, persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages.", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "Bio: She is a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montr\u00e9al. She is interested in examining the social and ethical implications of natural language processing technologies; She develop approaches for anticipating, measuring, and mitigating harms arising from language technologies, focusing on the complexities of language and language technologies in their social contexts, and on supporting NLP practitioners in their ethical work. She has also worked on using NLP approaches to examine language variation and change (computational sociolinguistics), for example developing models to identify language variation on social media. ", |
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| "section": "Introduction", |
| "sec_num": null |
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| "text": "Mind the data gap(s): Investigating power in speech and language datasets Nina Markl . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1", |
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