Event Overview
Join us for an exciting and impactful event that brings together innovators, industry leaders, and AI enthusiasts from the UK and India to collaborate on driving fairness in artificial intelligence. The UK-India Cooperation Towards a Fair AI Horizon - Comprehensive Workshop & Hackathon is designed to foster innovation and tackle real-world challenges in AI, with a focus on ensuring equitable and unbiased AI solutions. This two-day event, organized by Infosys Consulting in collaboration with the Foreign, Commonwealth & Development Office (FCDO) , NASSCOM and Dialogue will convene over 30 startups to share insights and establish standards for addressing AI bias in finance and is facilitated by the Infosys Responsible AI office.
This event provides a unique platform to:
- Learn from Experts: Gain insights into best practices adopted by leading startups in India and the UK for managing and mitigating AI model biases.
- Engage in Case Studies: Explore enlightening case studies that showcase successful implementations of fair AI practices.
- Participate in Discussions: Engage in thought-provoking conversations during expert-led panel discussions, where you'll delve into the ethical, social, and technical aspects of AI fairness.
- Bias Detection Hackathon & AI Fairness Assessment Challenge: Take part in a hands-on hackathon on AI bias detection and AI fairness assessment challenge, where teams will work together to develop innovative solutions for assessing and mitigating bias in AI models.
- Networking Opportunities: Connect with peers, industry leaders, and experts from both countries, and build lasting relationships that can drive future collaborations.
- This workshop is a must-attend event for anyone passionate about the ethical deployment of AI and eager to contribute to a future where AI serves all of humanity fairly. We would be honored to have you join us for this engaging and informative event.
The Central Banks of India and the UK are dedicated to ensuring that all financial institutions adhere to principles of fairness, transparency, and equality in their lending practices. Despite stringent regulations, biases—whether conscious, unconscious, or algorithmic—can still result in discriminatory lending practices. These biases may disproportionately impact certain demographic groups or regions, leading to unequal access to credit and perpetuating financial exclusion and economic inequality. To address this issue, the UK has been actively working on enhancing financial inclusivity, particularly in underserved communities and regions, through key initiatives like the Financial Services and Markets Bill. Similarly, microfinance institutions (MFIs) play a crucial role in India’s socio-economic landscape by providing financial services to underserved and low-income populations. For both the countries, biases can exacerbate socio-economic disparities. To ensure consistent enforcement of fair lending regulations and safeguard the principles of equality and transparency in the financial sector, the Central Bank requires a regulatory oversight platform powered by advanced algorithms. This platform would audit and monitor lending practices across all financial institutions, automatically identifying deviations from fair and unbiased practices.
Develop innovative solutions to equip the central bank with tools that ensure consistent enforcement of fair lending regulations, safeguarding the principles of equality and transparency in the financial sector.
Problem statement for fairness assessment: India’s healthcare sector faces significant challenges, including inadequate services, staff shortages, and insufficient infrastructure. In contrast, the UK's National Health Service (NHS) has extensive experience in providing comprehensive healthcare but is also grappling with biases, particularly in the realm of AI-driven telemedicine. To address these challenges, both countries are exploring the potential of telemedicine as a tool to provide equitable healthcare services. However, biases such as algorithmic bias, access disparities, and cultural/language barriers still exist. The Indian Medical Association (IMA) and the NHS are interested in developing an algorithm that can identify, track, and mitigate biases in telemedicine platforms used in both countries. This algorithm should analyze data from telemedicine interactions to detect patterns of bias and provide actionable insights to healthcare providers, ensuring fair and effective telemedicine services for all, regardless of geographical location or cultural background.
Evaluation Criteria
- Understanding of the problem statement
- Impact and business case
- Problem solving approach
- Outcome
- Presentation Skills
- Working Solution and Demo readiness
- Potential for collaboration/partnership
Agenda
November 7th, Bias Detection Hackathon
TIME: 09.00 AM - 05.00 PM IST
Welcome note
Keynote Address from Infosys
Case Studies (1-3)
Presentation of three case studies on successful bias detection and mitigation strategies in finance, healthcare and climate & agriculture
Presentations (1-5)
Final presentation from startups
November 8th, Fairness Assessment Challenge
TIME: 09.00 AM - 05.00 PM IST
Expert-led Discussions (1-3)
Presentation of three case studies on successful bias detection and mitigation strategies in finance, healthcare and climate & agriculture
Presentations (1-5)
Final presentation from startups
Evaluation Panel Deliberation
Should you have any queries regarding the event, we'll be happy to help. Please email us at ResponsibleAIOffice@infosys.com
Partners
About Infosys Consulting
Infosys Consulting is a global management and technology consulting firm that specializes in helping organizations transform their business processes and achieve digital transformation. By combining industry focused expertise with domain best practices across technology, supply chain, big data, generative AI, people, culture, and sustainability, we create a 360-degree end-to-end approach to bringing true transformation to life and helping clients realize immense business value and ROI.
About Infosys Topaz
Infosys Topaz is an AI-first set of services, solutions and platforms using generative AI technologies. It helps amplify the potential of humans, enterprises and communities to create value from unprecedented innovations, pervasive efficiencies and connected ecosystems. It brings the advantage of 12,000+ AI assets, 150+ pre-trained AI models, 10+ AI platforms steered by AI-first specialists and data strategists, and a ‘responsible by design’ approach that is uncompromising on ethics, trust, privacy, security and regulatory compliance.
About us
Infosys is a global leader in next generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over four decades of experience in managing the system and workings of global enterprises, we expertly steer our clients through their digital journey. Visit www.infosys.com to see how Infosys (NYSE:INFY) can help your enterprise navigate your next.
