Chris Hanlon

@chrishanlon.bsky.social

Professor of United States literature, Arizona State; co-editor, ALH Review & The Dial; author, America’s England (2013) & Emerson’s Memory Loss (2018); allegedly storied; will bell the cat.

In Arizona, clean energy candidates beat utility insiders backed by business groups and Turning Point Action. Marjorie Kelly and @thomasmhanna.bsky.social report that advocates for renewable energy and affordability now hold a majority on the Salt River Project board.

The Pro-Democracy and Climate Movements Just Scored a Win In an Unexpected Place

Arizona residents recently won a major fight for democratic public ownership of their electric utility.

inthesetimes.com

What I wish for everybody to remember when Canvas comes back online: The reason OUR data can be held for ransom is because Instructure, their owners (KKR private equity & Dragoneer venture capital), & our own employers (see ASU Atomic) monetize it. It's Canvas that hacked education & stole our IP.

Tita Chico@titachico.bsky.social · 3mo ago

who could have imagined that it wasn't a good idea to have a nearly ubiquitous educational platform run by for-profit tech? @mattseybold.bsky.social is who! (yep, Canvas is down, hacked, stick a fork in it)

@andrewmaynard.net , who helped author the six “design principles” ASU published last year, notes that even given a “transmission” model of education, Atomic flouts the principles’ concern for “the rights of individuals’ privacy and agency in the use of their data, individually and in aggregate.”

Andrew Maynard@andrewmaynard.net · 3mo ago

Are design principles for responsible and beneficial AI useful? ASU's release of its AI education platform Atomic reveals the potential usefulness of AI design principles and the risks of not following them www.futureofbeinghuman.com/p/are-design...

no credit to the lecturers, no names, no sources, no links or references to outside work. just AI summaries, including built-in errors. this one repeatedly references the "riscus" community as a mistranslation of "riskers"

Governance Alignment: The imperative to establish frameworks and policies that ensure all AI development and deployment reflect human values and priorities, preventing misuse or unintended consequences.
These perspectives set the stage for understanding why AI ethics and responsibility matter—the field emerged precisely because technologists recognized the need to build safeguards into AI systems from the ground up.

🔍 Understanding the Key Idea
The most critical concept to grasp is why the X-Riscus community insists on caution despite AI's tremendous potential. Their argument isn't that AI is inherently evil; rather, they contend that without deliberate alignment with human values during development, powerful systems could produce unintended consequences at scale.

The goal is to make sure that all we do with AI aligns with human values.
This statement encapsulates the ethical foundation of responsible AI development. When AI systems learn from data or operate autonomously, they can amplify biases, make decisions humans didn't anticipate, or optimize for metrics misaligned with broader societal good. The X-Riscus perspective argues that proactive governance—not reactive regulation after problems emerge—is essential.

Progress (in AI context)

The pace of advancement in AI capabilities—how quickly systems become more powerful, autonomous, and capable of handling complex tasks. The debate centers on whether rapid progress is beneficial without accompanying ethical frameworks.

Perspective	Core Belief	Primary Focus
X-Riscus Approach	Cautious acceleration with governance oversight	Alignment with human values, existential risk mitigation
Implied Alternative	Rapid progress with market-driven innovation	Speed to benefit, competitive advantage
Understanding this tension is foundational: ethics in AI isn't about slowing progress but ensuring it happens thoughtfully.

Meet “ASU Atomic,” a subscription platform that claims to offer customized learning modules for fee-paying users. None of the ASU faculty whose course materials were harvested for the module I generated were aware that their image, lectures, lessons, or other teaching materials are being used.

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