Informative Pasts, Sustainable Futures: Archaeology, Heritage and AI | Gai Jorayev | TEDxUIC

Heritage Data & AI Integration - The heritage sector is experiencing a data deluge due to advancements in technology like laser scanners and drones, leading to unprecedented speed in data collection [2][3][7] - There's a growing movement towards making heritage-related data linked, accessible, and open, adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable) [8][9] - AI systems, both multimodal and unimodal, are being explored to connect the dots in heritage data analysis, potentially surpassing human capabilities in integrating diverse information [15][16][17] - Heritage data often presents challenges for AI models due to its irregularity, lack of comparability, and patchy nature, requiring models capable of reasoning with such data [19][20][25][26] Societal Implications & Collaboration - Archaeological and heritage evidence holds significant potential to inform modern societies on addressing global challenges like the climate crisis, offering insights into sustainable practices and resilient communities [10][11] - Collaboration between heritage specialists and AI experts is crucial for developing AI models that account for data biases, ethical considerations, and the unevenness of data access globally [28][29][30] - AI is envisioned as a collaborative tool to assist in synthesizing information and identifying new hypotheses, rather than replacing human expertise in the heritage field [31][32] - Explainable AI is essential for building trust and transparency in AI-driven heritage analysis, along with prioritizing replicability in a world marked by digital inequalities [33] Future Directions & Sustainability - The heritage sector aims to leverage AI to enhance the ability to discover, conserve, and manage heritage, contributing to broader sustainability goals [36][37] - The ultimate question is whether the fusion of heritage knowledge and AI can help humanity not only survive but also thrive, addressing modern problems and ensuring long-term outcomes [37]