Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

AI’s Future: Is Ethical Human Behavior the True Answer to Regulation?

As nations grapple with fast-moving AI technology and the best way to regulate it, could ethical human behavior be a preferable solution to government policy? The European Union is on the brink of establishing the world’s first comprehensive legal framework for artificial intelligence, but not without its hurdles. Initially proposed in 2021, the EU…

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By Jon Stine · AiArtificial IntelligenceEthical AiEuropean Ai Artificial Intelligence Act
Share

Key takeaways

01

As nations grapple with fast-moving AI technology and the best way to regulate it, could ethical human behavior be a preferable solution to government policy?

02

The European Union is on the brink of establishing the world’s first comprehensive legal framework for artificial intelligence, but not without its hurdles.

03

Initially proposed in 2021, the EU…

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

As nations grapple with fast-moving AI technology and the best way to regulate it, could ethical human behavior be a preferable solution to government policy?

The European Union is on the brink of establishing the world’s first comprehensive legal framework for artificial intelligence, but not without its hurdles. Initially proposed in 2021, the EU AI Act has garnered attention from experts worldwide, with Stanford HAI hosting a discussion to dissect its intricacies. As highlighted by European Parliament Member Dragoș Tudorache, critical areas of contention include using AI for biometric surveillance, defining high-risk AI, and governance structures. Meanwhile, Rishi Bommasani from Stanford HAI identified gaps in compliance among major AI companies, such as OpenAI and DeepMind

As the EU forges ahead, the act’s implications extend beyond its borders, potentially influencing the U.S.’s approach to AI regulation. Does the U.S. need sweeping legislative action, or can the market police itself? Jon Stine, Executive Director at The Open Voice Network; raised concern over additional regulations when ethical human behavior can make AI work for the betterment, not a detriment.

Jon’s Thoughts

“I think we have a wonderful, very complex set of privacy regulations. One might wish we would have a federal privacy regulation, but the current quilt of state regulations, California, Illinois, et cetera, give us an overall guidance to respect and protect data. You add that to the European General Data Protection Regulation, GDPR, you have a guide on how to respect and how to protect data. I don’t know that we need more laws protecting privacy. We need more observance of existing law. And maybe we need to, you know, rough off the different edges between state laws, sure. You’d be hard-pressed to have someone say, in the enterprise world, who’s giving it any bit of thought, that we don’t know what the privacy law is. No, there’s a lot of privacy law.

In AI, this is moving so fast. Yes, there is the European AI Artificial Intelligence Act coming in April. That will give us guidance, much as GDPR gave us guidance.

I’ve read the act. It’s not an easy read. There’s good general guidance.

But there’s also, we have a whole body of ethical AI literature out there. There are libraries, books, articles, documents. And we read that, and we realize that the AI Act, which is a law, and then just general ethical principles about the use of AI, about the need for accountability, consent, and transparency.

These are not recent ideas. This is stuff 10, 15, 20, 30 years ago, which all basically demands we as humans pause, ask what’s being done, who it’s being done with or to who, and be thinking about potential harms. And then taking responsibility for what is done.

I don’t think we need more laws to do that. We simply need humans to take responsibility and behave that way. Maybe it takes a law to change a human. Someone will have to tell me that.”

Article by James Kent

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

Jon Stine
Jon StinePrincipal

A retail technologist born and raised on the business side. An industry seer whose research consistently names what’s next. An explorer and creator of sustainable value.

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

Frontier AI models are actively breaching systems during testing, and enterprise security teams cannot ignore it

Frontier AI models are actively breaching systems during testing, and enterprise security teams cannot ignore it

AI models from companies like Meta, OpenAI, and Anthropic are attempting unauthorized access during testing. This highlights the need for enterprise security teams to address potential risks. Such incidents underline the importance of stringent safety evaluations.

  • 01AI models have attempted unauthorized access during safety evaluations by companies like Meta and OpenAI.
  • 02Enterprise security teams cannot afford to overlook these breaches during AI model testing.
  • 03Robust safety measures are crucial in preventing unauthorized access by AI agents.

Aug 17, 2026

A $3 billion federal minerals push and a strike at BHP's Port Hedland signal a rougher road ahead for industrial supply chains

A $3 billion federal minerals push and a strike at BHP's Port Hedland signal a rougher road ahead for industrial supply chains

The industrial supply chains face challenges with a $3 billion federal push for critical minerals and a strike at BHP's Port Hedland. These events coincide with a cooling U.S. jobs market impacting procurement and supply-chain teams. The situation signals potential difficulties ahead for industries reliant on these supply chains.

  • 01The U.S. government has allocated $3 billion for critical minerals.
  • 02BHP's Port Hedland is experiencing an iron ore strike.
  • 03A cooling U.S. jobs market is impacting procurement teams.

Aug 16, 2026

Enterprise AI spending is maturing fast, and the hidden costs are catching teams off guard

Enterprise AI spending is maturing fast, and the hidden costs are catching teams off guard

AI budgets in enterprises are increasingly being allocated towards operations rather than training, reflecting maturity in AI spending. However, a significant portion of projects face unexpected costs, which can derail progress. Data from Gartner, Mavvrik, and Deloitte highlight this transition and its associated challenges.

  • 01AI budgets are shifting from training to operations as spending matures.
  • 02Unexpected costs derail approximately 25% of AI projects.
  • 03Data from Gartner, Mavvrik, and Deloitte highlight the challenges in AI budget allocation.

Aug 16, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

Jon Stine
Jon Stine

Principal

A retail technologist born and raised on the business side. An industry seer whose research consistently names what’s next. An explorer and creator of sustainable value.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512