As reports of misconduct increase and artificial intelligence brings forth new ethical dilemmas, workplace conduct codes are gaining significance. Even so, numerous personnel remain hesitant about reporting violations, or they miss precise direction regarding corporate responses.
Employee confidence in reporting is weakening
Codes of conduct are designed to give employees a clear framework for understanding acceptable behavior, identifying potential violations and knowing where to turn when concerns arise. However, their impact relies not simply on whether companies have such policies in place, but also on whether staff members comprehend them, apply them and trust the mechanisms linked to them.
That issue has become more significant as workplace misconduct continues to be reported at higher levels. An HR Acuity survey found that 55% of employees said they had either experienced or witnessed misconduct in 2025. The figure represented a notable increase from 41% in 2024 and came close to the highest level recorded by the organization over a seven-year period.
The frequency of incidents was also a concern. Among those surveyed, 38% said they had encountered multiple instances of misconduct. That suggests that workplace ethics challenges are not necessarily isolated events and that employees may encounter situations requiring them to make difficult decisions more than once.
Against that backdrop, the effectiveness of reporting mechanisms becomes particularly important. Employees need to know not only what constitutes inappropriate or unethical conduct, but also that raising a concern will not expose them to negative consequences.
Research from LRN points to a gap in that area. Its findings showed that 66% of employees believed they could report misconduct without experiencing retaliation. Although a majority expressed that level of confidence, the percentage was lower than the 71% recorded the previous year.
The decline matters because a reporting channel alone does not necessarily create an environment in which employees feel comfortable speaking up. A person may know where to submit a complaint but still decide not to do so if they are uncertain about confidentiality, fear professional consequences or have little understanding of what happens after a report is made.
For organizations, this places greater emphasis on the information contained in their codes of conduct. Employees may need more practical explanations of how concerns are handled, who becomes involved in an investigation and what protections are available to people who raise issues.
Codes need to explain what happens after a report
LRN’s analysis suggests that many ethics and conduct codes do not provide enough detail about the investigation process. This can leave employees with an important unanswered question: what happens once a concern is submitted?
A code that focuses exclusively on expected behavior may establish useful standards, but it may not address the uncertainty surrounding reporting. Employees could benefit from knowing how allegations are assessed, how investigations are conducted and how the organization approaches retaliation.
The goal is not necessarily to turn a code of conduct into a lengthy procedural manual. Instead, organizations can use the document to provide enough practical direction for employees to understand the broader process.
That distinction is gaining significance as businesses navigate increasingly intricate office issues. Misconduct may encompass conventional problems like harassment, discrimination, conflicts of interest, or improper conduct, yet companies are likewise tackling challenges related to technology, data, and artificial intelligence.
A useful code therefore needs to do more than list prohibited actions. It should help employees make decisions when the answer is not immediately obvious and provide a framework for responding when they encounter questionable behavior.
Plain communication also plays a pivotal role. Staff members are far more inclined to follow a guideline when they can swiftly pinpoint the details they require and grasp the company’s expectations of them.
LRN’s findings emphasize this practical dimension. Rather than simply expanding conduct codes with additional material, organizations can focus on making existing guidance easier to locate, understand and apply.
That strategy can additionally assist organizations in sidestepping a frequent pitfall: drafting guidelines that formally tackle rising dangers yet prove challenging for workers to apply during actual scenarios.
Artificial intelligence is creating new workplace questions
The evolution of workplace technology introduces an extra layer of complexity. Artificial intelligence applications are progressively making their way into daily tasks, yet enterprises and their personnel do not always share identical expectations regarding the speed at which these innovations can integrate into standard processes.
Recent human resources research has highlighted a lack of clarity around how employees should use AI effectively. Workers may have access to new tools without receiving sufficient guidance about appropriate applications, limitations, data considerations or accountability.
That uncertainty can affect both productivity and workplace ethics. An employee might know that an AI system can help produce content, analyze information or automate a task, but still be unsure about whether a particular use is appropriate under company policy.
There is also a gap between employee and leadership expectations about AI adoption. A May report from the Adecco Group found differences in how the two groups viewed their organizations’ readiness to incorporate agentic AI into workflows within the following year. Employees were less likely than leaders to believe their organizations would be prepared for that transition.
Such disparities can present functional hurdles for organizational leadership. Management might perceive the integration of AI as swift progress, whereas staff members often seek more explicit guidance regarding how these technologies align with their daily duties.
This challenge grows even more critical as artificial intelligence platforms gain the ability to handle increasingly intricate assignments. For instance, agentic AI can be engineered to execute chains of operations instead of merely producing an answer to a single query. Consequently, concerns emerge regarding supervision, accountability, and the extent of human participation necessary when artificial intelligence is deployed in professional environments.
Organizations do not necessarily need to create an entirely separate conduct framework every time a new AI capability emerges. According to LRN, many of the principles needed to address AI-related risks already exist within conventional ethics programs.
Existing ethical principles can guide AI use
Accountability, fairness, transparency and sound judgment are examples of principles that can be applied to the use of artificial intelligence.
Accountability can help establish who remains responsible when AI contributes to a decision or work product. The presence of an automated system does not automatically transfer responsibility away from the employee or organization using it.
Fairness can be relevant when AI is involved in processes that affect employees, customers or other stakeholders. Organizations may need to consider whether the technology could introduce or reinforce unfair outcomes.
Transparency can help employees understand when AI is being used, what role it plays and what limitations may apply. Depending on the circumstances, transparency may also be important when communicating with customers or other external parties.
Sound judgment is equally important because not every situation involving AI can be addressed through a simple list of permitted and prohibited uses. Employees may need to assess whether the information they provide to a system is appropriate, whether an AI-generated result requires additional verification and whether human review is necessary.
For this reason, simply adding an AI section to a code of conduct may not be enough. The more useful approach may be to connect AI guidance with the organization’s broader ethical expectations.
This approach simplifies comprehension for staff members by anchoring novel innovations within familiar guidelines. Rather than classifying artificial intelligence as a completely distinct domain of office conduct, enterprises can clarify the direct application of current standards upon the arrival of fresh utilities.
For example, an organization that already requires employees to protect confidential information can explain how that obligation applies when using external AI systems. Similarly, an existing expectation around accuracy can be extended to AI-generated material by emphasizing the need to review and verify outputs before relying on them.
These connections can make ethics guidance more practical without requiring organizations to continually rewrite their entire conduct framework whenever technology changes.
AI ethics policies should evolve with workplace needs
Alongside broader conduct codes, organizations can develop specific AI ethics policies to address questions that require more detailed guidance.
Such policies can begin with practical questions about the purpose of AI adoption. Rather than focusing exclusively on the risks associated with the technology, organizations can establish how AI is expected to support employees and improve their ability to perform their work.
At the same time, employers need to consider how the use of AI could affect trust. If employees believe that technology is being introduced without adequate oversight, communication or safeguards, adoption may become more difficult.
Consequently, an artificial intelligence ethics framework can tackle domains like permissible usage, human supervision, liability, privacy protection, openness, and the auditing of machine-generated content. Specific mandates will fluctuate according to the enterprise, the systems utilized, and the nature of the tasks executed.
Another crucial factor is that these guidelines ought not to be viewed as fixed records that get drafted once and then left untouched.
AI capabilities are evolving rapidly, and the ways employees use them can change as new products and features become available. Organizations may also discover new risks after technology has been introduced into everyday workflows.
That makes periodic review important. An AI policy that accurately reflects an organization’s technology environment today may become incomplete as systems gain new capabilities or employees adopt different use cases.
The exact same principle applies to codes of conduct in a broader sense. Workplace guidelines must reflect the actual circumstances employees encounter, rather than merely fulfilling a paperwork checklist.
Practical guidance can strengthen workplace ethics
The growing number of misconduct reports and the expanding use of artificial intelligence point to the same underlying challenge: employees need practical guidance when they face situations involving ethical uncertainty.
A code of conduct can establish the organization’s expectations, but its value depends on whether employees can translate those expectations into decisions and actions. That includes knowing when to seek advice, where to report a concern and what protections are available after making a report.
The drop in staff members who claim they can flag wrongdoing safely without worrying about backlash also underscores why organizational trust matters so much. Even a meticulously planned reporting framework can prove largely ineffective if personnel doubt their grievances will be addressed equitably.
For employers, building that trust can entail more than simply updating policy wording. Employee comprehension of corporate ethical standards is often shaped by ongoing training, clear communication, and steady execution.
The same principle applies to AI. Employees may be given access to sophisticated tools, but technology alone does not establish responsible use. People need to understand what is expected of them, what decisions require human oversight and how existing workplace principles apply to AI-assisted work.
Organizations therefore face a dual task. They need to ensure that their conduct programs remain responsive to traditional workplace misconduct while also adapting to emerging technologies.
The answer does not necessarily lie in producing longer policies. In fact, adding large amounts of information without considering how employees will use it could make guidance harder to navigate.
Instead, organizations can focus on clarity, accessibility and practical application. Employees should be able to find relevant guidance quickly, understand what it means and recognize how it applies to situations they may encounter.
This approach also creates room for organizations to update their policies as workplace conditions change. Conduct codes and AI ethics policies can evolve alongside new forms of misconduct, new technologies and new expectations around responsible business behavior.
As artificial intelligence becomes more deeply integrated into professional environments, the connection between technology governance and workplace ethics is likely to become increasingly important. At the same time, rising reports of misconduct reinforce the need for employees to have confidence in the systems designed to protect them.
Ultimately, effective conduct guidance is not simply about adding more rules. It is about giving employees a practical framework for making responsible decisions, raising concerns and understanding how their organization will respond. As LRN’s research suggests, the strongest policies are those that employees can readily find, understand and apply when they need them.
