Workplace conduct codes are becoming more important as reports of misconduct rise and artificial intelligence introduces new ethical questions. Yet many employees still lack confidence in reporting wrongdoing or clear guidance on how organizations will respond.
Worker trust in reporting channels is declining
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 centered solely on anticipated behavior can set helpful benchmarks, yet it might fail to tackle the ambiguity inherent in reporting. Staff members would find it advantageous to understand how complaints are evaluated, the way inquiries are carried out, and the organization’s stance on retaliation.
The objective is not necessarily to transform a code of conduct into an exhaustive procedural manual. Rather, institutions can leverage the document to supply sufficient practical guidance so that staff members grasp the overarching procedure.
That distinction is increasingly relevant as companies deal with more complicated workplace concerns. Misconduct can involve traditional issues such as harassment, discrimination, conflicts of interest or inappropriate behavior, but organizations are also confronting questions involving 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 approach may also help organizations avoid a common problem: creating policies that technically address emerging risks but are difficult for employees to use in real situations.
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.
The issue becomes even more important as AI systems become capable of taking on increasingly complex tasks. Agentic AI, for example, can be designed to perform sequences of actions rather than simply generate a response to an individual prompt. That raises questions about oversight, responsibility and the degree of human involvement required when AI is used at work.
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.
Current ethical frameworks can direct the application of AI
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 scenario 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 instance, a company that already mandates staff members to safeguard sensitive data can clarify how that duty extends to the use of external AI platforms. Likewise, a pre-existing standard regarding precision can be applied to content produced by artificial intelligence by underscoring the importance of checking and validating results prior to depending 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.
Simultaneously, business owners must evaluate how artificial intelligence integration might impact trust levels. Should staff members feel that tools are being deployed absent proper supervision, transparent dialogue, or security measures, acceptance could prove significantly harder to achieve.
An AI ethics policy can therefore address areas such as acceptable use, human oversight, accountability, data protection, transparency and the review of AI-generated information. The exact requirements will vary depending on the organization, the technologies involved and the types of work being performed.
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 same principle applies to codes of conduct more broadly. Workplace policies need to reflect the conditions employees actually face rather than simply satisfying a documentation requirement.
Actionable advice can improve professional integrity
The mounting volume of misconduct complaints alongside the broader adoption of artificial intelligence highlight a shared core issue: workers require actionable direction whenever they encounter scenarios marked by ethical ambiguity.
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 decline in employees who say they can report misconduct without fear of retaliation also highlights the importance of organizational trust. Even a well-designed reporting system may have limited value if employees do not believe that raising concerns will be handled fairly.
For employers, strengthening that trust can involve more than revising policy language. Training, communication and consistent implementation can all influence how employees understand an organization’s ethical standards.
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 solution does not automatically depend on drafting lengthier policies. Actually, cluttering documentation with excessive details, without evaluating how staff members interact with it, might render instructions much harder to follow.
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.
