Assessing Impact to Showcase AI
summary
Introduces using Social Return on Investment (SROI) to evaluate AI projects by mapping stakeholders and inputs, setting short/medium/long-term objectives, applying financial proxies to convert social impacts into economic value, and using predictive analytics for planning and reporting. Presents an operational example where an AI project that reduces school dropout by 10% over 8–30 years yields inclusion, higher wages and lower welfare costs, and cites the GoBond case with a 5.19 social return per euro and SROI used in project selection.
AI-written summary · about
chapters (8)
- 0:00Conference introduction
- 1:27GDP limits and metrics
- 4:14Ethical AI impact assessment
- 5:50AI SROI explained
- 7:52SROI in education
- 9:24SROI for ethical progress
- 10:53GoBond case study
- 12:24Measuring innovation
related talks
33mAI for Good: Using Responsible AI to Drive Social Impact and Inclusion
21mUnderstanding Human Impact: Social and Equity Assessments for AI Technologies
31mPrioritizing well-being in the age of the algorithm
46mThe Dawn of the Social Fintech; AI, Sustainability and Social Science
01h 16mBEYOND ETHICS WASHING:IMPACT ASSESSMENTS, AUDITS, AND OVERSIGHT FOR AI
24mFrom Data to Decisions: Turning Enterprise AI into Real Business Outcomes
29mScaling AI - Creating value with the application of AI
23mDelivering business success with AI