Does the Meta Settlement Create Real Change?
Protecting people from technology matters. Preparing people to use it wisely may matter even more.
Mitch Albom recently raised an important question about social media and children: Who is responsible when young people become glued to their screens—the users, their parents, or the companies that design technology to keep people engaged?
That question became even more important after Meta reached a $17 billion settlement with states and U.S. jurisdictions over claims that Facebook and Instagram harmed young people through addictive product design.
Meta did not admit wrongdoing, but it agreed to major changes intended to better protect teens, including stronger parental controls, limits on access and notifications, time-management features, and stronger age protections.
These are meaningful steps.
But they raise a much bigger question: How do we protect people from technology while also preparing them to use it wisely?
Social media is not going away.
Artificial intelligence certainly is not going away.
AI will increasingly help us learn, work, communicate, research, solve problems, and make decisions.
So, litigation alone cannot be the answer.
Four Ways to Create Change
There are at least four ways society can respond.
1. Litigation and Accountability
The Meta settlement shows what lawsuits can accomplish. Litigation can hold companies accountable, force changes in product design, create financial consequences, and pressure other companies to change their practices.
But lawsuits are usually reactive.
They happen after problems have developed.
Litigation can change corporate behavior, but it cannot teach people how to manage technology, question information, handle emotions, or make better decisions.
2. Rules and Safeguards
Government and industry can create stronger standards around issues such as:
privacy
parental controls;
age verification;
algorithmic transparency;
data collection; and
product designs intended to keep people continuously engaged.
Good rules create important protections.
But technology often changes faster than regulation.
Rules written for today’s social-media platforms may not address tomorrow’s AI assistants, companions, wearable devices, or technologies we have not yet imagined.
3. Change What the Market Rewards
Many digital products have been built around a simple goal: Keep people engaged - More clicks. More scrolling. More time online.
But markets change when people change what they value.
What if we increasingly reward technology that helps us:
Learn more.
Think better.
Communicate better.
Build stronger relationships.
Achieve better outcomes.
Companies respond to what customers, parents, schools, businesses, and society choose to reward.
4. Build Human Capacity
The fourth approach is to strengthen the people using the technology.
Instead of asking only: How do we protect people from technology?
We should also ask: How do we prepare people to use technology well?
That means developing skills such as:
critical thinking;
self-awareness;
emotional control;
listening;
empathy;
recognizing persuasion;
checking information;
understanding different points of view;
disagreeing without attacking; and
knowing when technology is helping us—or beginning to control our attention;
Technology will continue to change.
Strong human skills travel with us.
We Need All Four
There is probably no single solution.
Litigation creates accountability.
Rules create boundaries.
Markets create incentives.
Human capacity creates agency.
That last point may become the most important over time.
Technology can help us. It can inform us. It can even advise us.
But human beings still need the ability to judge what they see and hear, understand other people, manage emotions, challenge ideas, and take responsibility for their decisions.
That is where Conversational Intelligence and Conversational AI becomes important.
Conversational AI and Conversational Intelligence
Conversational AI and Conversational Intelligence sound similar.
But they are very different.
Conversational AI allows people to communicate naturally with technology through systems such as ChatGPT and other AI assistants.
Conversational Intelligence is a human capability. CivilTalk defines Conversational Intelligence as our ability to recognize and navigate what is happening during a conversation—how we listen, respond, manage emotions, understand different perspectives, build trust, disagree, and work toward better outcomes.
In simple terms:
Conversational AI helps us communicate with machines.
Conversational Intelligence helps us communicate better with people.
And there is another important benefit.
Conversational Intelligence Help Us to Use Conversational AI, Ethically and Responsibly
Conversational Intelligence can also help people use AI-generated information more ethically and responsibly.
AI can provide information, recommendations, arguments, and possible answers.
But AI does not remove our responsibility for what we do with that information.
People still need to ask:
Is this accurate?
Is it fair?
Could this harm someone?
What information may be missing?
Am I considering another point of view?
Am I relying too heavily on the technology?
Am I willing to take responsibility for the decision?
Skills such as self-awareness, empathy, critical thinking, self-control, and accountability help us use AI as a tool while keeping human judgment in control.
The more powerful AI becomes, the more important these human skills may become.
This is Where Clarion Fits
Clarion is an AI-powered Conversational Intelligence agent designed to help people understand what happened during an actual human conversation.
It can observe conversations conducted through platforms such as Zoom, Microsoft Teams, and Google Meet and turn them into a structured Conversational Intelligence report.
Clarion does not decide who is right.
It does not diagnose people.
It does not assign personalities.
Clarion observes the conversation and makes important patterns easier to see.
Clarion Is Not Just Another AI Note Taker
This distinction is important.
There are many excellent AI meeting assistants and note takers. They can create transcripts, summarize meetings, identify topics, capture action items, and help people remember what was discussed.
Those are useful tools.
But that is not the primary purpose of Clarion.
AI note takers focus mainly on documenting the meeting.
Clarion focuses on understanding the conversation.
A note taker may tell you: What was said.
Clarion also helps you see:
How was it said?
What positions did people take?
Where did they agree?
Where did they disagree?
How did people respond to one another?
What Conversational Intelligence skills were demonstrated?
Where might the conversation have been more effective?
Another simple way to describe the difference is:
A transcript records the words. A summary explains the meeting. Clarion helps make the conversation visible.
The Clarion CI Report
Clarion turns a conversation into several types of useful insight.
Conversation Summary
What were the major topics, ideas, issues discussed and key moments observed?
Positions
What positions did participants express?
What did they support?
What concerns did they raise?
Did their positions change during the conversation?
Agreements and Disagreements
Where and why did participants agree?
Where and why did they disagree?
What questions remain unresolved?
This can be especially valuable because people often leave the same meeting with different memories of what was agreed upon.
Commitments and Next Steps
What did people agree to do?
What did they agree to be accountable for?
What actions or responsibilities came out of the conversation?
Civility and Conversation Patterns
Clarion looks for observable patterns in the language people use.
Did people acknowledge one another?
Did they listen?
Was empathy demonstrated?
Did certain words increase tension?
Were ideas challenged respectfully?
Did the conversation move toward greater understanding—or further division?
What are the Conversational Intelligence Skills
Clarion also applies the CivilTalk Conversational Intelligence Model.
The model includes 20 skills organized into four areas.
Self-Awareness: Emotional Awareness, Self-Assessment, Self-Confidence, Authenticity, Self-Respect
Self-Management: Self-Control, Trustworthiness, Adaptability, Motivation , Accountability
Social Awareness: Empathy, Compassion, Organizational Awareness, Service Orientation, Cultural Awareness
Relationship Management: Influence, Teamwork, Developing Others, Conflict Management, Inspirational Leadership
Clarion looks for observable examples of these skills during the conversation.
That distinction is important.
Clarion does not say that someone is or is not empathetic.
It identifies moments when the person’s words or behavior demonstrated empathy—or when there may have been an opportunity to respond more empathetically.
Clarion analyzes the conversation, not the person.
Conversations Are Where Conversational Intelligence Skills Become Visible
We spend enormous amounts of time measuring results.
Athletes watch game film. Sales professionals review sales calls. Managers study performance reports. Companies measure financial results. Schools measure academic performance.
But many of those results begin with conversations.
A hiring interview.
A sales call.
A management meeting.
A difficult conversation between employees.
A classroom discussion.
A board meeting.
A conversation between family members.
Clarion gives people an opportunity to look at those conversations and learn from them.
Not to determine who won.
Not to determine who was right.
But to understand:
What happened?
What worked?
What could have worked better?
And: What can we learn for the next conversation?
Build Safer Technology—and Stronger Humans
The Meta settlement matters.
Companies should be accountable for the products they create.
Children deserve reasonable protections.
Parents need better tools.
Government and industry have important roles.
But those protections address only part of the challenge.
We also need to prepare people for a world with much more technology and much more artificial intelligence.
We cannot know exactly what technology our children—or any of us—will use ten years from now.
But we have a pretty good idea which conversational intelligence skills will continue to matter:
Critical thinking
Self-awareness
Self-control
Empathy
Listening
Accountability
Conflict management
Good judgment.
And the ability to have Better Conversations → Stronger Relationships → Better Outcomes.
So perhaps the lesson from Meta is not simply: Build safer technology. It is: Build safer technology—and stronger humans.
CivilTalk | The Conversational Intelligence Company