Update research.mdx

uli-website/src/pages/research.mdx

@@ -4,20 +4,38 @@ import ContentPageShell from "../components/molecules/ContentPageShell.jsx"
 
 # Research 
 
-1. Mehta, T., & Chakraborty, S. (2023). Visuais Para Tecnologia Emancipatória: Um Estudo de Caso Sobre a Cocriação de uma Linguagem Visual Para Combater a Violência de Género Online no Twitter Indiano. Vista, (11), e023007. [https://doi.org/10.21814/vista.4133](https://doi.org/10.21814/vista.4133)
-2. Arora, A., Arora, C., & J, M. (2023). Designing for Disagreements: A Machine Learning Tool to Detect Online Gender-based Violence. In Feminist Perspectives on Social Media Governance. IT for Change. [https://itforchange.net/feminist-perspectives-on-social-media-governance-0](https://itforchange.net/feminist-perspectives-on-social-media-governance-0)
-3. Arora, C., & Prabhakar, T. To think interdisciplinarity as intercurrence: Or, working as an interdisciplinary team to develop a plug-in to tackle the experience of online gender-based violence and hate speech. 2021. [⟨hal-03505844⟩](https://hal.science/hal-03505844)
-4. Arora, C. (2022). ...The tool is underdevelopment... In R. Singh, R. L. Guzmán, & P. Davison (Eds.), Parables of AI in/from the Majority World. [https://datasociety.net/wp-content/uploads/2022/12/DSParablesAnthology_Ch5_Arora.pdf](https://datasociety.net/wp-content/uploads/2022/12/DSParablesAnthology_Ch5_Arora.pdf)
-5. Arora, A., Jinadoss, M., Arora, C., George, D., Khan, H. D., Rawat, K., ... & Prabhakar, T. (2023). The Uli Dataset: An Exercise in Experience Led Annotation of oGBV. arXiv preprint - [https://arxiv.org/abs/2311.09086](https://arxiv.org/abs/2311.09086).
-6. Vaidya, A., Arora, A., Joshi, A., Prabhakar, T. (2023). A shared task on Gendered Abuse Detection in Indic Languages at ICON. [https://sites.google.com/view/icon2023-tattle-sharedtask/](https://sites.google.com/view/icon2023-tattle-sharedtask/)
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-
-
-# Media Coverage
-
-1. [Can Tech and Humans Work Together To Make Social Media Less Communally Charged?](https://www.thequint.com/news/webqoof/communal-language-and-moderation-social-media-india#read-more)
-2. [How Desi Troll Armies have built a Coded Lexicon of Slurs](https://timesofindia.indiatimes.com/india/how-desi-troll-armies-have-built-a-coded-language-of-abuse/articleshow/89406114.cms)
-3. [Facebook’s language problem. Rest of World. Newsletter](https://restofworld.org/2021/newsletter-south-asia-facebooks-language-problem/)
-4. [Putting hate speech on mute: An Indian project helps social media users filter out abuse to feel safe online](https://akademie.dw.com/en/putting-hate-speech-on-mute-an-indian-project-helps-social-media-users-filter-out-abuse-to-feel-safe-online/a-65636500)
-
-</ContentPageShell>
+The Uli team is cross-disciplinary. This is the list of publications based on work done by the authors with Uli. They are listed in rough chrological order and are not categorized by field or discipline. At the end of the page is an explicit section on Uli as an exploration of alternative imaginations of AI.
+
+* Vaidya, A., Arora, A., Joshi, A., Prabhakar, T. (2023). A shared task on Gendered Abuse Detection in Indic Languages at ICON. [https://sites.google.com/view/icon2023-tattle-sharedtask/](https://sites.google.com/view/icon2023-tattle-sharedtask/)
+* Arora, A., Jinadoss, M., Arora, C., George, D., Khan, H. D., Rawat, K., ... & Prabhakar, T. (2023). The Uli Dataset: An Exercise in Experience Led Annotation of oGBV. arXiv preprint - [https://arxiv.org/abs/2311.09086](https://arxiv.org/abs/2311.09086).
+* Mehta, T., & Chakraborty, S. (2023). Visuais Para Tecnologia Emancipatória: Um Estudo de Caso Sobre a Cocriação de uma Linguagem Visual Para Combater a Violência de Género Online no Twitter Indiano. Vista, (11), e023007. [https://doi.org/10.21814/vista.4133](https://doi.org/10.21814/vista.4133)
+* Arora, A., Arora, C., & J, M. (2023). Designing for Disagreements: A Machine Learning Tool to Detect Online Gender-based Violence. In Feminist Perspectives on Social Media Governance. IT for Change. [https://itforchange.net/feminist-perspectives-on-social-media-governance-0](https://itforchange.net/feminist-perspectives-on-social-media-governance-0)
+* Arora, C., & Prabhakar, T. To think interdisciplinarity as intercurrence: Or, working as an interdisciplinary team to develop a plug-in to tackle the experience of online gender-based violence and hate speech. 2021. [⟨hal-03505844⟩](https://hal.science/hal-03505844)
+* Arora, C. (2022). ...The tool is underdevelopment... In R. Singh, R. L. Guzmán, & P. Davison (Eds.), Parables of AI in/from the Majority World. [https://datasociety.net/wp-content/uploads/2022/12/DSParablesAnthology_Ch5_Arora.pdf](https://datasociety.net/wp-content/uploads/2022/12/DSParablesAnthology_Ch5_Arora.pdf)
+
+
+## Responsible/ Trustworthy/ Feminist AI
+
+The project started as an exploration of building AI aligned with (feminist principles)[https://uli.tattle.co.in/blog/approach/]. There are many terms- such as responsible, ethical, trustworthy, participatory, feminist- to describe better or alternative visions of AI. Uli speaks to these themes, and also complicates them. A number of publications (listed above) are on the process and the reflection from trying to build Uli informed by these visions. More are forthcoming. The following presentation summarizes the process and reflection on specifically feminist principles in context of our work:
+
+<Box>
+    <Box>
+      <Text style={{ fontSize: "1.4em" }} margin={{ bottom: "0.8em" }}>
+        {" "}
+        Building Participatory AI
+      </Text>
+      <Box fill>
+        <iframe
+          width="100%"
+          height="400"
+          src="https://www.youtube.com/watch?v=Zt088nILmDM"
+          title="Working with Feminist AI"
+          frameborder="0"
+          allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+          allowfullscreen
+        ></iframe>
+      </Box>
+</Box>
+
+
+</ContentPageShell>