This initiative would examine technological developments in AI to determine whether AI and datafication are tools for repression and exclusion and, if so, what role civil society organisations have to push to hold AI accountable and ensure data justice. The twofold engagement with AI lies in realising that since AI is being used at a large scale, the challenge is communicating to the community the basic principles of AI and the difference between the cognitive mind and the pattern developed by Machine Learning. In particular, the rural youth community needs to be sensitised about the impact of AI on their prospects of education and employment.
DEF’s past initiatives toward uncovering the social, political, economic, and cultural impacts of AI have been in the form of workshops, reports, and edited volumes since 2019, mostly after the National Policy made by the Indian central government in the form of National Strategy for Artificial Intelligence #AIforAll made by NITI Aayog to boost AI development in the field of – Health, Agriculture, Education, Smart Cities and infrastructure, Smart Mobility, and Transportation. DEF has recognised that the everyday developments in the technological aspects of ICT don’t impact only the white-collar workers and the knowledge economy partners, but the impact is on the welfare of the population who are at the receiving end of the development policies and programs.
Apart from this, some of the earlier works of DEF in the domain of AI and related spheres are as follows:
- Conversation on Data Justice in India Combatting Algorithmic Exclusions and Building Fairer Frameworks (2023)
In this edited volume, an attempt was made to uncover the various dimensions of ‘datafication’ of society and throw light on multifaceted dimensions of data justice, specifically in the context of emerging AI and ML systems and their governance.
- Advancing Data Justice Research and Practice (2023)
This booklet on Data Justice Report is based on research conducted by DEF as Policy Pilot Partners of the Alan Turing Institute and the Global Partnerships on AI to provide a broader frame and attempt to fill gaps in existing research on the issue beyond the present narrower ones of compliance matter of individualised privacy or ethical design.
- Understanding Institutional AI: Sectoral Case Studies from India (2020)
In this working paper, there are cases on education, health, and law enforcement because they represent different stages of institutional application of AI and the incidence of impact on privacy for different sections of the citizenry as well as different types of institutional arrangement with private service providers and at the same time the difference categories of data used and datasets used, proposed to be used, linked and combined.
- AI for all (workshop)
AI for All workshop was a self-learning online program that aims to make AI accessible to people and provide a great overview of AI and its possibilities, as well as concerns and ethics. The program was divided into two sections, AI Aware and AI Appreciate, which provide an in-depth understanding of AI and its application.
And various other research and advocacy engagements in the field of AI impacting India’s social and welfare policies.
Objectives
The objective of this initiative is to extend the previous research work, build a knowledge system around emerging technological developments in the field of AI, and carry forward the research and advocacy for a society where technological developments in the field of ICT are non-discriminatory and inclusionary. Some of the key objectives for this initiative are as follows:
- To identify the research gaps in the field of the social impact of technological development in the field of AI in the rural and peri-urban areas of India.
- To critically engage with the everydayness of AI in the financial, educational, and services sectors in the lives of the vulnerable sections of society.
- To enhance youth’s capacity to understand the use and limitations of AI and build a collaborative knowledge system for an inclusive digital ecosystem.
- To develop policy discourse around AI accountability based on secondary research and empirical studies.
- To engage with various stakeholders to address the exclusionary, bias, and opaqueness of AI.
- To strengthen SoochnaPreneur’s capacity to understand the impact of AI, algorithmic systems, data protection rights, and others.
Research, Training, and Advocacy
This initiative at DEF would engage in research, training, developing toolkits, modules, policy papers, and advocacy reports at the initiative for AI accountability and Data justice.
- Research
Both secondary and primary research will be conducted to understand the social, economic, cultural, and political impact of exclusionary AI frameworks and large-scale datafication. To establish research collaborations with scholars, practitioners, and institutes working towards a common goal Of AI accountability and Data Justice.
- Module creation
Parallel to research, modules will be created on the know-how of AI, uncovering the biases of algorithms, data protection rights, and other allied digital rights. AI literacy toolkit in multilingual languages to be developed for the rural and the peri-urban communities.
- Training and capacity building
Capacity building training for community members of DEF and at large for digital rights with the growing development of AI in the ICT field. The initiative will also plan capacity and training programs for the policymakers, concerned government, and other concerned authorities for developing socially inclusive AI tools.
- AI tools development
Apart from research and training, DEF’s team will also build inclusionary, affordable, open-source AI with a stronger focus on its use for the weaker and vulnerable sections of society to uplift their quality of life. For example, developing an AI-enabled DEF dashboard.
- Fellowships and Awards
DEF will also recognise the effort made in the fairer and socially inclusive AI field and will collaborate with respective stakeholders to felicitate and award fellowships for further research and tool development in AI and Data Justice. In collaboration with respective stakeholders, DEF will commend developers and practitioners on AI for social good.
- Policy Briefs and Policy Reviews
DEF will work towards producing robust policy briefs based on research and training programs so that the knowledge can feed into the larger regional, national, and global policy towards bringing AI accountable and ensuring Data Justice with the larger goal of safeguarding digital rights.
Apart from designing policy, the initiative will also work towards reviewing the policy of various state governments and concerned departments of the central government to have mutual engagement to build people-centric AI tools.
Key Initiatives for 2024
- Just AI Award, 2024 recognises and celebrates AI-driven projects that create positive social impact. Launched by DEF, in partnership with the Telangana Government and WSA (World Summit Awards), the awards highlight innovative solutions addressing social and digital inequalities. It is being held on 5th and 6th September 2024 at HICC, Hyderabad.
- Digital Citizen Summit 2024, organised by DEF in partnership with the Centre for Development Policy and Practice and the Government of Telangana, is organising Algorithms, AI, and Accountability as the sixth Digital Citizen Summit theme. It is being held on 15th and 16th November 2024 at T-Hub, Hyderabad.
- DEF is part of the Responsible AI Impact Fellowship organised by Digital Future Lab. Under the RAIL fellowship, DEF is working towards the AI integration of its chatbot (Skillbot) and app (MeraApp). The fellowship is a 4-month learning journey that also provides an opportunity to collectively build knowledge for critically engaging with and developing AI tools for social impact.
Expected Outcomes
- More functional and critical engagement with AI
- Developed knowledge about the identification of algorithmic biases
- Creation of an inclusive AI tool for better services at the CIRC
- Robust Advocacy for AI Accountability
- Trained SoochnaPreneurs for advocating safer use of AI and data protection rights
- Volume 2 of Conversation on Data Justice in India
- Collaborative research outputs from continued engagements with various stakeholders