This project Inclusive.AI introduces a paradigm for diverse stakeholders of AIto collaboratively address social, technical, and political challenges. This is a step foward to democratize AI governance by ensuring participation in decision-making regarding AI models and behaviors through a Decentralized Autonomous Organization (DAO) mechanisms. This includes various decision-making schemes like quadratic, ranking, and weighted voting, with both equal and differential voting powers. Leveraging blockchain technology, Inclusive.AI promotes transparency and prevents manipulation, enhancing user involvement in governing large language models and shaping future policies.

Project Website: here

Selected publication

Tanusree Sharma Jongwon Park, Yujin Kwon, Yun Huang, Sunny Liu, Dawn Song, Jeff Hancock, Yang Wang. Inclusive.AI: Engaging Marginalized Groups in Democratic Decision-Making in AI. [Under Review] [Email me for Preprint]
Tanusree Sharma, Yujin Kwon, Kornrapat Pongmala, Henry Wang, Andrew Miller, Dawn Song, and Yang Wang. "Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice [Under Review CHI 2024] Preprint version
Tanusree Sharma*, Silvan Bruggmann*, Robin Fritsch, Jianing Si, Roger Wattenhofer, Ye Wang. From Discussions to Decisions: Understanding User Behavior in Decentralized Autonomous Organizations. [Under Review CHI 2024]
Tanusree Sharma*, Smit Desai*, Pratyasha Saha*. Using ChatGPT in HCI Research—A Trioethnography ACM CUI 2023 PDF

This line of work proposed new method of dataset creation and designing AI for underserved group (e.g. blind users)in ethical way. A novel contribution of this work is an addition of new data creation/collection method for ethical AI development pipeline - opting for props objects to create dataset with blind users; integrating diverse expertise areas like accessibility, privacy, and computer vision to ensure essential criteria like content diversity and category representation as well as privacy/security of data collection/creation to foster AI advancements. Dataset comprises 728 images and 728 videos from 14 private categories, all captured by 26 visually impaired individuals. Furthermore, this work contribute an initial prototype and evluation of blind users with design insights of how blind users would like to obfuscate private content in different contextual scenarios, complemented by a Wizard-of-Oz setup offering human-generated guidance.

Project Website: here

Dataset:

The BIV-Priv Image dataset is available here
The BIV-Priv Video dataset is available here

Selected publication

Tanusree Sharma Abigale Stangl, Lotus Zhang, Yu-Yun Tseng, Inan Xu, Leah Findlater, Danna Gurari, and Yang Wang. "Disability-First Design and Creation of A Dataset Showing Private Visual Information Collected With People Who Are Blind." In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems [PDF].
Yu-Yun Tseng, Alexander Bell, Tanusree Sharma, Lotus Zhang, Abigale Stangl, Leah Findlater, Yang Wang and Danna Gurari. Locating Objects in Images Taken by People With Visual Impairments. [Under Review International Journal of Computer Vision (VISI)]
Lotus Zhang, Abigale Stangl, Tanusree Sharma, Yu-Yun Tseng, Inan Xu, Leah Findlater, Danna Gurari, and Yang Wang. Designing Accessible Obfuscation Support for Blind Individuals’ Visual Privacy Management. [Under Review CHI].
Smirity Kaushik, Natã M. Barbosa, Yaman Yu, Tanusree Sharma, Zachary Kilhoffer, JooYoung Seo, Sauvik Das, and Yang Wang.. GuardLens: Supporting Safer Online Browsing for People with Visual Impairments. Symposium on Usable Privacy and Security (SOUPS 2023) PDF

This line of work includes usable privacy and security addressing investigating the context of Blockchain and decentralized application for addressing issues around both end users and developers' points of view. One project presented at Usenix 23 dedicated to improving smart contract development practices and designing tools for secure coding of smart contracts. Meanwhile, another project focuses on exploring the security and usability aspects of web3-based applications, presented at SOUPS 23, including crypto wallets and DeFi applications. Another noteworthy project involves addressing usability and security concerns by implementing cryptographic protocols like MFKDF in the context of crypto wallets with a potential to benefit various decentralized applications These project applied ranges of method including, system developemt, randomized control experiment, user interview, surveys to understand users expectation, preferences in making actionable tooling/application. As a result of the efforts, we have developed two exceptional systems: the Ciao wallet with the MFKDF scheme and the i-Wallet with enhanced usability and accessibility features.

Selected Publication

Tanusree Sharma,, Zhixuan Zhou, Andrew Miller, and Yang Wang. A {Mixed-Methods} Study of Security Practices of Smart Contract Developers. In 32nd USENIX Security Symposium USENIX Security 23 [PDF]
Tanusree Sharma*, Zhixuan Zhou*, Luke Emano, Sauvik Das, Yang Wang., Iterative Design of An Accessible Crypto Wallet for Blind Users. Symposium on Usable Privacy and Security SOUPS 2023 PDF
Tanusree Sharma, Chixuan Zhou, Yun Huang, & Yang Wang.It's A Blessing and A Curse": Unpacking Creators' Practices with Non-Fungible Tokens (NFTs) and Their Communities. Crypto Economics Security Conference (CESC) PDF
Tanusree Sharma*, Vivek Nair*, Henry Wang, Yang Wang, and Dawn Song “I Can’t Believe It’s Not Custodial!”: Usable Trustless Decentralized Key Management. [Under Review CHI 2024].
Tanusree Sharma*, A.T.M Mizanur Rahman*, Silvia Sandhi, Yang Wang, and S M Taiabul Haque. Confused: Navigating the Current Practices and Perceived Risks among the Cryptocurrency Users in Bangladesh. [Under Review CHI 2024].
Yaman Yu, Tanusree Sharma, Sauvik Das, and Yang Wang "Don't put all your eggs in one basket'': How Cryptocurrency Users Choose and Secure Their Wallets. [Under Review CHI 2024].
Zhuangtong Huang, Rui Jiang, Tanusree Sharma, Ye Wang. Changing Trust: Auditing's Impact on Web3 Security from a User Perspective. [Under Review CHI 2024].
Yongqi Guan, Yaman Yu, Tanusree Sharma, Zhuangtong Huang, Rui Jiang, Kaihua Qin, Yang Wang, and Ye Wang. Across Fiat and Cryptocurrency: User Security Perceptions in Stablecoin Practices.[Under Review CHI 2024].
Jianing Si, Tanusree Sharma, Yang Wang, and Ye Wang. Understanding User-Perceived Security Risks and Mitigation Strategies in the Web3 Ecosystem. [Under Review CHI 2024].

This line of work is motivated by the cultural, economic, and development differences in the Global South, where the Western definition of privacy is often not applicable. As a result of this project, we found novel user mental models of targeted ads based on mobile app permissions and excessive AI usage. People from Global South often preferred ad control over transparency. Another series of project under this line of work involves exploring and designing ad technology, emerging crypto technology, AI, etc, and technologies used in crisis situation, such as COVID-19.

Selected Publication

Tanusree Sharma ,Smirity Kaushik, Yaman Yu, Syed Ishtiaque Ahmed, Yang Wang. User Perceptions and Experiences of Targeted Ads on Social Media Platforms: Learning from Bangladesh and India. CHI Conference on Human Factors in Computing Systems (CHI23) PDF
Tanusree Sharma,, Ankit Shrestha *, Pratyasha Saha, Syed Ishtiaque Ahmed, Mahdi Nasrullah Al-Ameen. A First Look into Software Security Practices in Bangladesh. ACM Journal on Computing and Sustainable Societies. ACM COMPASS 2023 PDF
Tanusree Sharma, Md Mirajul Islam, Anupam Das, SM Taiabul Haque, and Syed Ishtiaque Ahmed.. Privacy during Pandemic: A Global View of Privacy Practices around COVID-19 Apps. In ACM SIGCAS Conference on Computing and Sustainable Societies. ACM Compass 2021 PDF
Tanusree Sharma* , A.T.M Mizanur Rahman*, Silvia Sandhi, Yang Wang, and S M Taiabul Haque. Confused: Navigating the Current Practices and Perceived Risks among the Cryptocurrency Users in Bangladesh. [Under Review CHI 2024].

Data is a valuable asset for organizations in data-driven economies, but without effective measures, data misuse can negatively impact end-users. The 2018 GDPR gives individuals control over their personal data. This project aims to explore users' understanding of data minimization in search engines, factors influencing their decision to share search data, and their perspective on how data minimization should work in AI System.

Selected Publications

Tanusree Sharma, Lin Kyi, Yang Wang, Asia Biega (To appear Usenix 24).
Tanusree Sharma. Rethinking Data Minimization from a {User-Centered} Approach: A Paradigm Shift. Usenix PEPR 2023 PDF
Tanusree Sharma, Wang, T., Giulio, C. D., & Bashir, M. (2020, October). Towards Inclusive Privacy Protections in the Cloud. In International Conference on Applied Cryptography and Network Security (pp. 337-359). Springer, Cham PDF