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Strengthening program evaluation in your nonprofit

ASU Lodestar Center

As nonprofits attempt to tackle some of our communities' most difficult problems; funders, government agencies and the general public are actively calling for accountability, transparency and proof that a program is producing change. This call spurred the increasing demand for program evaluation. Guide to building evaluation capacity.

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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. If you want to get results, you need to think about instructional design and learning theory. And, there is no shortage of learning theories and research.

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The Theoretical Reward Learning Research Agenda: Introduction and Motivation

The AI Alignment Forum

Finally, in the last post, I will also provide some resources for anyone who wants to contribute to this (or similar) research, in the form of both open problems and some thoughts on how these problems could be approached. Some relevant criteria for evaluating a specification language include: How expressive is the language?

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure.

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Other Papers About the Theory of Reward Learning

The AI Alignment Forum

To me, the main takeaway from this paper is that we should be careful with the assumption that the basic RL setting really captures everything that we intuitively consider to be part of the problem domain of sequential decision-making.

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The Future of Social: Gen Z

NonProfit Hub

Beth has over 30 years working in the nonprofit sector in technology, training, capacity building, evaluation, fundraising and marketing. Beth is an expert in facilitating online and offline peer learning, curriculum development based on traditional adult learning theory and other instructional approaches.

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Google at NeurIPS 2022

Google Research AI blog

Derrick Xin , Behrooz Ghorbani , Ankush Garg , Orhan Firat , Justin Gilmer Associating Objects and Their Effects in Video Through Coordination Games Erika Lu , Forrester Cole , Weidi Xie, Tali Dekel , William Freeman , Andrew Zisserman , Michael Rubinstein Increasing Confidence in Adversarial Robustness Evaluations Roland S.

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