#responsibleai

“The handful of very wealthy … tech bros are not in a position to understand the needs of humanity at large,” [Prof. Emily M. Bender] bluntly argued.

“You can have all the good intentions in the world, but you’re not going to get very far until there’s some regulation that protects the rights that the profit motive runs roughshod over,” Bender dropped another truth bomb.

This very much echoes what I posted about a while back on Yanis Varoufakis’s newly coined technofeudalism: https://lnkd.in/gGekMQ_M

As I wrote then: My personal take is we cannot rely on the benevolence and philanthropy of a select few to guide and shape the future of humanity. Even if they genuinely start from a place of good and nobel intentions, the potential for corruption, having that sort of power, is simply too great.

PAI3.AI: Putting Users at the Center of AI Innovation

Poll links AI vaccine misinformation to heavy chatbot use

The Guardian reports a poll tying AI vaccine misinformation to frequent chatbot use. What design fixes and audits could make health answers

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Read the Responsible AI Op-Ed from the Alliance for AI & Humanity (AAIH) to explore insights on ethical AI, governance, and human-centered technology. Stay informed with expert perspectives on how Responsible AI can shape a safer and more trusted digital future.

AI-enabled cyberattacks: the barrier to hacking falls

In The Guardian on June 29, 2026, Bruce Schneier warned that AI-enabled cyberattacks slash the skill barrier. Here’s what defenders should

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⚖️🤖📊 AI Legislation Statistics 2026: Understanding the Future of AI Governance

Artificial intelligence is transforming industries worldwide, and lawmakers are working to create frameworks that encourage innovation while addressing privacy, transparency, and accountability.

Highlights include:

🔹 AI legislation trends 🔹 Global regulatory developments 🔹 State and federal policy updates 🔹 AI ethics and governance 🔹 Compliance and transparency insights

As AI becomes more integrated into everyday life, staying informed about legislation and regulatory trends is essential for businesses, developers, researchers, and technology enthusiasts alike.

What Is an AI Acceptable Use Policy?

An AI acceptable use policy explains how employees may and may not use AI tools for business work.

It helps answer practical questions like:

• Which AI tools are allowed? • Which AI tools are not approved? • What data should never be entered? • When does AI use need review? • When should AI use be disclosed? • Who owns the final output? • Who approves exceptions?

This matters because AI use can spread quickly inside a business.

An employee may use AI to draft emails, summarize notes, rewrite documents, analyze spreadsheet data, create code, review vendor files, or prepare customer-facing content.

That can be useful.

But without clear rules, AI use can create risk around:

Security Sensitive information may be entered into public or unapproved tools.

Privacy Customer, employee, vendor, or regulated data may be exposed.

Accuracy AI-generated output may be wrong, incomplete, or misleading.

Compliance There may be no approval record, review process, or evidence trail.

Accountability No one may clearly own the final result.

A practical AI acceptable use policy should cover:

Allowed tools Which tools employees may use.

Prohibited data What information should never be entered into AI tools.

Review rules When human review is required before using AI output.

Disclosure rules When employees should disclose that AI helped create or support the work.

Ownership Who is accountable for accuracy, confidentiality, and final use.

AI use does not need to be complicated.

But it does need documented rules.

Save this definition if your business is starting to organize AI governance.