Beth's Blog: How Nonprofits Can Use Social Media

JANUARY 27, 2014

So, expect to see regular reflections on good instructional design and delivery for any topic, but especially digital technology and social media related. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.

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Instructional Design Instructional Instruction Training 113

The AI Alignment Forum

FEBRUARY 28, 2025

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. Which specification learning algorithms are guaranteed to converge to a good specification?

Research 40

Research Learning Method Policy 40

ASU Lodestar Center

OCTOBER 16, 2020

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. The root problem here is poor evaluation capacity. Illustration by Jocelyn Ruiz.

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Evaluation Program Nonprofit Attitude 52

The AI Alignment Forum

FEBRUARY 28, 2025

The third and final class of tasks I look at in this paper is a new category of objectives that I refer to as modal objectives, where the agent is given an instruction expressed not just in terms of what does happen along a given trajectory, but also in terms of what could happen.

Learning 40

Learning Discussion Classes Policy 40

NonProfit Hub

OCTOBER 16, 2015

Beth is an expert in facilitating online and offline peer learning, curriculum development based on traditional adult learning theory and other instructional approaches. She has trained thousands of nonprofits around the world. Gen Z by the Numbers.

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Social Social Media Student Cancer 28

The AI Alignment Forum

FEBRUARY 7, 2025

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. Motivation: Two lines of recent work have looked for undesirable behaviors in LLMs, approaching the problem from two different angles: Andriushchenko et al.

Research 52

Research Fund Open Technique 52