Episode 2: Your Smartwatch Might Be Recording This. Enterprise Governance, Employee Trust

AI can preserve organizational knowledge, expand human capability, and capture context that traditional systems routinely miss. It can also record, retain, and repurpose more of our work, behavior, and judgment than most people fully understand.

In Episode 2 of The Edge of Now, Jason Averbook and Jess Von Bank examine the complicated relationship between AI, privacy, trust, and human value. They explore what happens when organizations encourage experimentation while limiting access, when useful technology begins to feel like surveillance, and when a person’s knowledge becomes training material for a system.

The question is not whether organizations should use this technology or protect people from its risks. The real challenge is designing governance that allows responsible progress while ensuring that the people whose knowledge creates value are recognized, protected, and included in that value.

Listen to the conversation and consider what a fair value exchange between people, organizations, and AI should look like.

Highlights:

• Why encouraging AI experimentation while restricting tokens sends a contradictory message

• How organizations can support different levels of AI participation without rebuilding an outdated center-of-excellence model

• Why probabilistic technology requires new education and clearer expectations

• When meeting recorders, wearables, and voice technology begin to feel like surveillance

• What separates listening, recording, storing, and repurposing human information

• Why trust requires more than accepting a privacy policy or checking a consent box

• How AI could preserve tacit knowledge without treating employees as extractable training data

• Why effective governance should keep responsible experimentation moving

• How voice can capture context that forms, fields, and surveys routinely miss

• What organizations owe people when their experience and judgment help train intelligent systems

• How AI could make previously invisible human contribution easier to recognize and reward

• Why human agency must be designed into the value exchange from the beginning

Stay Connected:

Jason Averbook
LinkedIn: https://www.linkedin.com/in/jasonaverbook/
X: https://x.com/jasonaverbook
Substack: https://jasonaverbook.substack.com/

Jess Von Bank
LinkedIn: https://www.linkedin.com/in/jessvonbank/
X: https://x.com/jessvonbank
Substack: https://jessvonbank.substack.com/

Now to Next
Website: https://nowtonext.ai/

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