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This AI for Good Global Summit presentation features Tasha Austin-Williams, Ph.D. who emphasized moving #AI conversations from theory to practical, authentic implementation in 3 key areas: 1. Addressing Human Biases with AI: Dr. Austin-Williams urged the audience to use AI to uncover and mitigate their own biases. She shared research on scholarship applications, revealing how word choices influenced decisions. She demonstrated a “bias preventor” tool that helps identify and counteract these biases, promoting equitable outcomes. 2. Responsible AI Usage: Dr. Austin-Williams described Deloitte’s Trustworthy AI Framework, which encompasses several key principles to ensure AI technologies are developed and deployed ethically and effectively, including: - Fairness and Impartiality: Ensuring that AI models and data are representative of the diverse communities they serve. This involves actively identifying and mitigating biases in data collection and algorithm design to avoid exacerbating existing inequalities. - Transparency and Explainability: Prioritizing making AI processes and decisions understandable. This includes developing models that can clearly explain their decision-making processes, allowing stakeholders to trust and comprehend how outcomes are derived. - Responsibility and Accountability: Establishing clear guidelines on accountability for AI systems. Defining roles and responsibilities to address any negative impacts from AI use, ensuring there is a plan for managing and rectifying issues. - Robustness and Reliability: Focusing on the reliability of AI models by continuously testing and updating them to reflect real-world scenarios. This includes stress-testing AI systems to ensure they perform accurately under various conditions and maintaining their effectiveness over time. - Privacy and Security: Committing to protecting the privacy and security of data used in AI systems involves implementing stringent data protection measures and ensuring that data usage aligns with the original consent given by individuals, preventing unauthorized access or misuse. 3. AI for the SDGs:?Dr. Austin-Williams concluded her presentation with specific examples of ways Deloitte is currently using AI for sustainable development progress. - Malaria Control: Deloitte developed an AI virtual assistant for the Global Fund, aiding in data analysis and evidence-based decision-making to combat malaria. - Deforestation Prevention: Collaborating with WWF, Deloitte created a predictive model to detect and prevent illegal deforestation, with successful deployments in Indonesia. - Subsidy Allocation for Farmers: An AI chatbot helps Dutch farmers navigate complex subsidy landscapes, promoting sustainable agriculture. Explore additional #AIforGood Solutions to the #SDGs: https://lnkd.in/edpZjV49

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