This book (Volume 2) includes peer reviewed articles from the International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI-2026), held on 10–11 April at Goldsmiths in the UK. It highlights the latest advancements in explainable, ethical, and trustworthy AI, emphasizing its transformative applications in socially impactful domains such as healthcare, education, climate action, and media. It discusses emerging AI governance models, regulatory challenges, and frameworks for fostering digital trust, while promoting AI literacy, fairness, and inclusivity. By amplifying voices from underrepresented communities, it addresses the need for equitable AI development. Serving as a common platform for pioneering researchers, scientists, engineers, and students, this book facilitates the exchange of ideas and achievements. It brings together global experts to explore innovative issues, encouraging cross-sectoral collaborations that shape responsible AI for the future.

This book (Volume 2) includes peer reviewed articles from the International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI-2026), held on 10–11 April at Goldsmiths in the UK. It highlights the latest advancements in explainable, ethical, and trustworthy AI, emphasizing its transformative applications in socially impactful domains such as healthcare, education, climate action, and media. It discusses emerging AI governance models, regulatory challenges, and frameworks for fostering digital trust, while promoting AI literacy, fairness, and inclusivity. By amplifying voices from underrepresented communities, it addresses the need for equitable AI development. Serving as a common platform for pioneering researchers, scientists, engineers, and students, this book facilitates the exchange of ideas and achievements. It brings together global experts to explore innovative issues, encouraging cross-sectoral collaborations that shape responsible AI for the future.

This book (Volume 2) includes peer reviewed articles from the International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI-2026), held on 10–11 April at Goldsmiths in the UK. It highlights the latest advancements in explainable, ethical, and trustworthy AI, emphasizing its transformative applications in socially impactful domains such as healthcare, education, climate action, and media. It discusses emerging AI governance models, regulatory challenges, and frameworks for fostering digital trust, while promoting AI literacy, fairness, and inclusivity. By amplifying voices from underrepresented communities, it addresses the need for equitable AI development. Serving as a common platform for pioneering researchers, scientists, engineers, and students, this book facilitates the exchange of ideas and achievements. It brings together global experts to explore innovative issues, encouraging cross-sectoral collaborations that shape responsible AI for the future.