The right home for what AI builds is a public charity.

EffectiveSC trains nonprofits in the practical, safe, and controllable use of AI, and implements AI systems with them. Here is the argument. The people involved are named on People.

Values

The training and the implementations rest on these values.

People

• People remain accountable for objectives, judgment, and harm. AI does not own the outcome.
• Agency of the individual outranks efficiency, profit, or convenience.
• Work starts from the lived experience of the people in the system.

Safety

• Trust requires that AI be obvious, and that deception is refused.
• Safety is practical control: prohibitions named, feedback loops built, silent failure refused.

Purpose

• Purpose is understood before a system is changed. Mess and redundancy often hold knowledge.
• Ambiguity and probability are where judgment lives. Fake certainty is a failure.
• Work pursues what is hard to explain and does not hide behind document theater.

Responsibility

• Change happens in pieces that can be reversed.
• Resources (compute, energy, time, and money) must earn their cost. Cheap generation does not make waste free.
• Learning is by doing, in public where the charter allows.

Train

We train so the people inside a nonprofit understand the practical, safe, and controllable use of AI, based on those values. That training is how the 2009 charter is carried now.

The charter, written in 2009, is the promotion of emerging technologies to create educational opportunities and public engagement on critical societal concerns. The tools changed. The charter did not.

Implement

We implement AI systems alongside a small number of nonprofits at a time. Implementation is charter program work, not a service the charity sells.

How we begin

We start with research, not commitments. Before we agree to work with an organization, we study the problem alongside them.

We say yes when the problem turns on educating someone, the organization works alongside rather than hands the problem off, and what is learned can stay public where the charter allows.

What we hold

AI First Principles is the value system the values above sit under: twelve open-source principles for operationalizing AI without automating dysfunction. The WISER Method is how that value system is put into motion: the plays, templates, and methodology, published as the WISER Method Master Playbook and open source. Both are held here and licensed openly.

We hold LevelUp, an open-source personalized and competency-based learning platform developed with Adams County School District 50 in Colorado.

We also hold UX Magazine, which has published design thinking for twenty-two years and now covers the intersection of UX and AI. Its community is over 1.2 million people, and its podcast, Invisible Machines, is past one hundred episodes. It keeps its own masthead and its own editorial voice.

Holding these in a public charity keeps them public.

Funding

This work is funded through donations and cash grants.

What we are not

We are not a vendor, and we are not a consultancy. We do not sell licenses.

Contact is info@effectivesc.org.

If our work is useful to you, use it.