Digital Solutions for ESG
summary
A practical evaluation framework assesses digital products by measuring model energy and hardware use, testing whether a stronger data model actually reduces total workload or triggers rebound effects, and identifying which ML architectures carry high embodied emissions. Findings cite roughly 52.2 million metric tons of e‑waste in 2021, show efficiency gains can increase aggregate energy demand, and surface a prototype policy: corporate digital responsibility plus a reusable data/code registry to extend component life and flag solutions with unacceptable lifecycle impacts.
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chapters (13)
- 0:00Digital solutions for ESG
- 1:13Digitalization for sustainability
- 3:03Sustainable Development Goals
- 6:17Europe’s sustainability role
- 9:33Digitalization and sustainability strategies
- 11:18Non-financial reporting
- 13:03AI’s impact on SDGs
- 15:31Hidden costs of digital tech
- 17:19Digitalization and global waste
- 20:10Sustainable tech design
- 21:18Corporate digital responsibility
- 23:35Circular economy strategies
- 25:26Data lifecycle management
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