Workplace Surveillance Ethics

Meta plans to install tracking software on U.S. employees’ computers to capture mouse movements, clicks, keystrokes, screenshots so it can train AI agents to perform computer-based tasks. The program is called the Model Capability Initiative. Meta says the data will not be used for performance reviews and that safeguards are in place for sensitive content. CTO Bosworth describes a future where agents “primarily do the work” while employees “direct, review" This is an early template for the AI-native workplace: instrument the employee → capture the workflow → train the agent → reduce dependency on the person Technically, this makes sense. If you want agents to do real work, they need to understand how work actually happens - not in a strategy deck, but in the messy, repetitive reality of enterprise life. Public internet data won't teach an agent how a finance analyst reconciles invoices across legacy systems. A process doc won't capture hesitation, workarounds or judgment. You need the choreography of work. So training on real workflows may not just be useful - it may be necessary. But for this to work, two things need to be true. First, employees need agency and upside. If employee behavior is valuable enough to train the company’s models, it should be treated as a contribution, not as free exhaust. The current default feels lopsided: employees do the work, the company captures the process, agents learn from it, the company owns the resulting system, and then uses AI-driven efficiency to justify fewer employees. Looks like extraction. A salesperson’s pitch pattern, an engineer’s debugging flow, a recruiter’s judgment, a product manager’s internal navigation hacks: this is skill compressed into behavior. The company may own the laptop and the work product, but the tacit knowledge lives inside people. If that knowledge is converted into training data, then employees are not just users of AI, they are contributors to the model. That should come with consent, boundaries, and compensation. The mechanism can vary but the principle should not: when human expertise becomes machine training data, the humans should share in the value being created. Second, companies need humility about what workflow data captures. Headcount is increasingly being treated as the balancing item for AI spend. GPUs up, people down. On paper, that looks efficient. Inside a company, it can hollow things out. Workflow data can capture some of what people do but it cannot capture all of what they know. The trace of expertise is not the same as expertise. AI can automate tasks but organizations are not just collections of tasks. They are living systems of judgment, history, coordination, and trust. Cut too much of that away, and you do not get an AI-native company - you get a thinner company with better demos and less resilience. Meta may be early again. The question is whether it is early to a better operating model, or early to a more brittle one.

𝗧𝗵𝗲 𝗦𝘂𝗿𝘃𝗲𝗶𝗹𝗹𝗮𝗻𝗰𝗲 𝗧𝗿𝗮𝗽: 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘀𝘁𝘀 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆, 𝗲𝗿𝗼𝗱𝗲𝘀 𝘁𝗿𝘂𝘀𝘁. Over the past few months, more companies have quietly rolled out new monitoring systems — tracking mouse movements, keystrokes, websites, “idle time,” and even screenshots. 𝗧𝗵𝗲 𝗶𝗻𝘁𝗲𝗻𝘁? Improve productivity, tighten accountability, optimise workflows. 𝗧𝗵𝗲 𝗼𝘂𝘁𝗰𝗼𝗺𝗲? A workplace culture that feels more watched than supported. Here’s the paradox leaders are missing: 𝙈𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜 𝙗𝙤𝙤𝙨𝙩𝙨 𝙫𝙞𝙨𝙞𝙗𝙞𝙡𝙞𝙩𝙮 — 𝙣𝙤𝙩 𝙩𝙧𝙪𝙨𝙩. Employees may be online longer, but they’re not necessarily more engaged. Surveillance signals a lack of confidence, and people respond by doing only what gets measured. 𝙏𝙧𝙖𝙘𝙠𝙞𝙣𝙜 𝙖𝙘𝙩𝙞𝙫𝙞𝙩𝙮 𝙙𝙤𝙚𝙨 𝙣𝙤𝙩 𝙣𝙚𝙘𝙚𝙨𝙨𝙖𝙧𝙞𝙡𝙮 𝙢𝙚𝙖𝙣 𝙩𝙧𝙖𝙘𝙠𝙞𝙣𝙜 𝙞𝙢𝙥𝙖𝙘𝙩. A green dot on Teams does not equal performance. When companies measure time-at-keyboard more than outcomes, employees shift from value-creation to “visibility theatre.” 𝙏𝙝𝙚 𝙚𝙢𝙤𝙩𝙞𝙤𝙣𝙖𝙡 𝙘𝙤𝙨𝙩 𝙞𝙨 𝙧𝙚𝙖𝙡. Workers report: • feeling micromanaged • reduced autonomy • lower morale • rising anxiety and distrust Ironically, the very tools meant to improve productivity may be undermining it. Modern work isn’t defined by minutes of activity — it’s defined by: • problem-solving • creativity • judgment • ownership • outcomes These can’t be captured by keystroke logs. 𝗧𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝘁𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝘄𝗶𝗻 𝗮𝗿𝗲𝗻’𝘁 𝘁𝗵𝗲 𝗼𝗻𝗲𝘀 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀… 𝗧𝗵𝗲𝘆’𝗿𝗲 𝘁𝗵𝗲 𝗼𝗻𝗲𝘀 𝗲𝗺𝗽𝗼𝘄𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲𝗺.

Microsoft AI Teams will soon tell your boss where you are. Starting December 2025, Teams can automatically detect when you connect to your company’s Wi-Fi and update your location to “in the office.” It sounds like a small feature. It isn’t. Location tracking through workplace networks is the newest frontier in digital surveillance, and it’s coming through your collaboration software. Microsoft says the feature is opt-in. That is very good. But, that decision will rest largely with employers and admins, not the average employee trying to meet deadlines. If you work for a Microsoft-using organization, now is the time to ask: Is our company planning to activate this feature? Has consent been properly documented? If you represent a union, this deserves to be on your next agenda. The GDPR and UK Data Protection Act require transparency, necessity, and proportionality for any location tracking. Under the EU AI Act, this may also fall under high-risk processing of biometric and personal data for workplace management. Employers must conduct a fundamental rights impact assessment before rolling it out. This isn’t paranoia. It is risk management, employee rights, and compliance. Workplace tracking without explicit, informed consent can violate privacy law in multiple jurisdictions, and it may open employers to liability under both GDPR and the EU AI Act’s risk provisions. If your organization uses Microsoft Teams with minors, such as schools or training programs, the stakes are even higher. Here’s what to do as an employee, parent, or guardian: 🔹 Ask your IT administrator if “location autodetection” is enabled. 🔹 Request a copy of the company’s Data Protection Impact Assessment (DPIA). 🔹 Ensure opt-in consent is voluntary and revocable. 🔹 Check that logs are deleted regularly and not used for performance evaluation. Transparency is not optional. #DigitalSovereignty #WorkplacePrivacy #AICompliance #GDPR #MicrosoftTeams Image source: SlashGear, https://lnkd.in/di5WvY2e From Microsoft: Microsoft 365 Roadmap: https://lnkd.in/dYc3N9TX Microsoft Learn (Configure auto-detect of work location): https://lnkd.in/dtEkYNqB

🚨 [AI POLICY] Big! The U.S. Department of Labor published "AI and Worker Well-being: Principles and Best Practices for Developers and Employers," and it's a MUST-READ for everyone, especially ➡️ employers ⬅️. 8 key principles: 1️⃣ Centering Worker Empowerment "Workers and their representatives, especially those from underserved communities, should be informed of and have genuine input in the design, development, testing, training, use, and oversight of AI systems for use in the workplace." 2️⃣ Ethically Developing AI "AI systems should be designed, developed, and trained in a way that protects workers." 3️⃣ Establishing AI Governance and Human Oversight "Organizations should have clear governance systems, procedures, human oversight, and evaluation processes for AI systems for use in the workplace." 4️⃣ Ensuring Transparency in AI Use "Employers should be transparent with workers and job seekers about the AI systems that are being used in the workplace." 5️⃣ Protecting Labor and Employment Rights "AI systems should not violate or undermine workers’ right to organize, health and safety rights, wage and hour rights, and anti-discrimination and antiretaliation protections." 6️⃣ Using AI to Enable Workers "AI systems should assist, complement, and enable workers, and improve job quality." 7️⃣ Supporting Workers Impacted by AI "Employers should support or upskill workers during job transitions related to AI." 8️⃣ Ensuring Responsible Use of Worker Data "Workers’ data collected, used, or created by AI systems should be limited in scope and location, used only to support legitimate business aims, and protected and handled responsibly." ╰┈➤ This is an essential document, especially when AI development and deployment occur at an accelerated pace, including at the workplace, and not much is said regarding workers' rights and labor law. ╰┈➤ AI developers should have labor law and workers' rights in mind when building AI systems that will be used in the workplace. Additional guardrails might be required. ╰┈➤ Employers should be aware of their ethical and legal duties if they decide to use AI in the workplace. AI-powered systems are not "just another technology" and present specific risks that should be tackled before deployment, especially in the workplace. ➡️ Download the document below. 🏛️ STAY UP TO DATE. AI governance is moving fast: join 36,900+ people in 150+ countries who subscribe to my newsletter on AI policy, compliance & regulation (link below). #AI #AIGovernance #AIRegulation #AIPolicy #WorkersRights #LaborLaw

Ever feel like constant supervision is holding you back instead of lifting you up? Progress thrives on trust, not micromanagement. But when trust is replaced by over-control, here’s what happens: - Innovation stalls When micromanaged, team members are hesitant to take risks or explore new ideas, stifling creativity. - Motivation drops Constant supervision undermines autonomy, leaving individuals feeling untrusted and disengaged. - Growth halts Over-control limits opportunities for team members to learn, grow, and develop their full potential. Micromanagement may seem like it ensures perfection, but in reality, it creates: ➜ Frustration Micromanagement creates a feeling of being suffocated, leading to dissatisfaction and disengagement. ➜ Burnout The pressure of constant oversight can drain energy and lead to exhaustion, affecting both productivity and well-being. ➜ Talent loss Talented team members may seek environments where their contributions are valued and trusted, leading to turnover. The truth? Progress requires a leader’s confidence in their team. Trust isn’t just a nice-to-have—it’s essential for: ✔️ Empowering creativity Trust allows team members to explore their ideas and solutions, fostering a culture of innovation. ✔️ Building accountability When leaders trust their teams, individuals take responsibility for their work, leading to better results. ✔️ Driving sustainable growth A confident, autonomous team can adapt, evolve, and grow, driving long-term success. So ask yourself: Are you empowering your team or just supervising them?

📝When employees feel trusted, they give their best. When they feel monitored, they just comply. 🤔Imagine this: You walk into work, energized and ready to tackle the day’s challenges. You dive into your projects, making real progress. Then, out of nowhere, your manager swoops in, not to discuss strategy, not to offer support, but to check if you took an extra five minutes on your lunch break. Sound familiar?  📖A friend of mine, let’s call him Rahul, once worked at a company where clock-watching was an obsession. His boss had a habit of checking timestamps, when people logged in, how long they took for lunch, and even bathroom breaks. Rahul, a talented data analyst, was passionate about solving complex business problems, but instead of focusing on insights, he spent more time worrying about “looking busy.”  One day, he had a breakthrough: a new strategy that could increase the company’s revenue by 20%. But instead of refining his idea, he was pulled into a meeting where his manager grilled him about why he had logged in three minutes late. Frustrated, he realized his skills were being wasted in an environment that valued attendance over innovation. Within months, he left for a company that cared about results, not rigid schedules.  That same strategy helped his new company skyrocket 📈 its profits.      Micromanaging may give the illusion of control, but in reality, it crushes motivation and innovation. When employees feel like they’re being constantly monitored, their focus shifts from producing great work to simply "looking busy." That’s a one-way ticket to burnout and disengagement.  When leaders shift from surveillance to support, something incredible happens. Employees feel valued, take ownership of their tasks, and deliver exceptional results. Autonomy fuels productivity, not rigid oversight.  Great managers set clear expectations and let professionals do what they were hired for. They check in, not check up. They measure success based on results, not hours logged at a desk. #workculture #leadership #management #micromanagement #trust #employees

Remote work has created a new obsession: productivity tracking software that monitors keystrokes, tracks mouse movements, and measures "active time."   But most companies are measuring the wrong things.   Someone just solved their company's biggest client problem in 20 minutes of thinking. Then they went for a walk to clear their head and plan what comes next.   The productivity software flagged them as "unproductive." Meanwhile, a colleague spent eight hours clicking through spreadsheets, moving their mouse, and looking busy. The software thinks they're amazing.   Companies are measuring activity, not results. Motion, not progress. Hours logged, not problems solved.   Productivity isn't about being busy. It's about moving things forward.   The best remote workers know when to step away from the screen to think clearly. Their best ideas come during walks, conversations, or while doing something completely different.   But productivity software sees this as "inactive time."   If a company needs to track every keystroke to know if someone's working, they've either hired the wrong people or created the wrong culture.   Trust and results beat surveillance every time.   What's your experience with remote work, do these tracking tools actually help?

People Don’t Perform at Their Best When They’re Watched. They Perform at Their Best When They’re Trusted. This image says what many teams feel but rarely say out loud. Too often, leadership is confused with surveillance. More checklists. More micromanagement. More hovering. The belief is simple: If I watch closely, performance will improve. But reality proves the opposite. When people feel watched, they play defense. They do just enough to stay out of trouble. They protect themselves instead of pushing limits. They follow instructions instead of thinking critically. That’s not excellence — that’s compliance. Trust changes everything. When people feel trusted, they think like owners. They solve problems before they’re asked. They take responsibility not because they have to, but because they want to. Trust creates space for creativity, accountability, and pride in one’s work. The highest-performing teams aren’t controlled — they’re empowered. This doesn’t mean the absence of standards. It means clarity without control. Expectations without intimidation. Accountability without fear. The best leaders don’t need to hover because they’ve built something stronger than oversight: belief. Belief that the person can handle the responsibility. Belief that mistakes are part of growth. Belief that people, when respected, rise to the occasion. Here’s the uncomfortable truth: If someone only performs when they’re being watched, the issue isn’t effort — it’s leadership. Strong leaders hire well, train well, and then step back. They create environments where people are proud of their output even when no one is looking. Where effort is internal, not forced. Where motivation isn’t surveillance-driven, but purpose-driven. Trust doesn’t mean lowering the bar. It means expecting more — and believing people can meet it. The question every leader should ask isn’t: “How do I monitor them better?” It’s: “How do I earn their trust enough that monitoring isn’t necessary?” Because the best work is never done under pressure alone. It’s done when people feel trusted, respected, and empowered to be great. What kind of environment are you creating on your team — watched, or trusted? 👇 I’d love to hear your perspective in the comments.

You can’t monitor your way to a high-performance culture. If a team only performs when they are being watched, you don't have a culture; you have a surveillance state. And in the modern workplace, surveillance is the fastest way to kill the very innovation you’re trying to measure. Real leadership happens in the "shadows", it’s what your team does when the lights are off. It’s the difference between a team that ticks boxes because they have to, and a team that creates value because they want to. The rhetorical reality of the boardroom often misses this: 🟢 The Watcher’s Paradox: People don’t give their best when they’re watched; they give their best when they’re trusted. 🟢 The Safety Multiplier: When people feel safe, they perform better. It isn't a "soft" sentiment; it’s a biological performance requirement. 🟢 The Invisible Engine: Culture isn't found in your workspace or equipment. It’s found in the "smell" of your office, the rituals, the unprompted collaboration, and the way decisions are made when you aren't there to mediate. As leaders, we have to ask ourselves: Are our Structures and Processes designed to catch mistakes, or are they designed to foster authority and development? If you strip away the office décor and the employee handbook, what remains of your culture? If the answer is "silence," then the trust isn't there. High performance isn't forced through a lens; it’s unlocked through a sense of belonging and safety. Have you noticed a shift in output when you’ve stepped back and leaned into trust rather than tracking? Follow Rob Gilder for reflections on leadership, empowerment, and building healthy team cultures.

I came across a video recently ( Posted here) Not from a manufacturing line. From a corporate office. Employees at desks. Screens open. AI systems tracking breaks. Measuring pauses. If someone stops typing for a few moments, a timer starts counting. On the surface, it is positioned as efficiency. In reality, it reveals a deeper misunderstanding of work. I am already seeing early versions of this in payments and enterprise operations. Fraud analysts measured per alert processed. Support teams tracked per ticket closed. Compliance officers evaluated per case reviewed. But the analyst quietly holding a complex risk scenario in their head? Questioned. The employee rapidly clicking through tasks? Rewarded. When technology measures motion instead of meaning, it distorts behavior. Deep thinking often looks like stillness. Judgment is invisible while it forms. A pause can be the birthplace of a breakthrough. AI systems cannot yet differentiate between reflection and disengagement. So both get labeled as “idle.” And that is dangerous. The risk is not just surveillance. The risk is that we start valuing speed over substance. If productivity becomes synonymous with visible activity, organizations will optimize for optics, not outcomes. More movement. Less insight. Let’s also not pretend this is isolated to one geography. Your laptop logs active time. Your collaboration tools show presence. Your dashboards measure turnaround time. The line between enablement and overreach is thin. The real issue is trust. High-performing institutions are built on clarity of outcomes and ownership — not constant digital supervision. When monitoring replaces trust, people begin to perform for the metric, not for the mission. So what is the right approach? Measure impact, not keystrokes. Evaluate decisions, not desk time. Create systems where AI supports pattern recognition and humans exercise judgment. Transparency matters. If monitoring exists, define its purpose and boundaries clearly. Hidden oversight erodes culture faster than any missed KPI. Most importantly, protect cognitive space. Complex industries — finance, compliance, consulting, strategy — are not assembly lines. They are judgment economies. The pause is not a threat. The pause is where thinking happens. If we design workplaces that punish stillness, we will raise teams that are constantly active — and rarely reflective. In an age of intelligent machines, the last thing we should automate away is human discernment. Efficiency is important. But dignity and depth are not optional. That balance is what leadership must get right. DC*