Rising misconduct highlights the need for stronger workplace conduct frameworks

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.

Worker trust in reporting channels is declining

Codes of conduct are intended to give employees a clear framework for understanding acceptable behavior, recognizing potential violations and knowing where to turn when concerns arise. However, their effectiveness depends not only on whether organizations have such documents in place, but also on whether employees understand them, use them and trust the systems connected 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 takes on heightened importance. Personnel must understand not just what defines improper or unethical behavior, but additionally that voicing a concern will shield them from adverse repercussions.

Studies conducted by LRN highlight a deficiency in that sector. Their data revealed that 66% of staff members felt confident they could flag wrongdoing free from backlash. Even though most showed that degree of assurance, the figure dropped compared to the 71% documented the year before.

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 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 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 go beyond merely outlining restricted behaviors. Instead, it ought to assist personnel in making sound choices when the correct path is not immediately clear, while also offering a structured approach for handling dubious conduct.

Clear language can also make a difference. Employees are more likely to use a policy when they can quickly identify the information they need and understand what the organization expects from 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 adds another layer to the challenge. Artificial intelligence tools are increasingly being introduced into everyday work, but organizations and employees do not always have the same expectations about how quickly those technologies can become part of established workflows.

Recent human resources research has highlighted a lack of clarity regarding the effective use of AI among employees. Workers might be given access to cutting-edge tools while failing to receive adequate direction concerning proper applications, constraints, data factors, or personal 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 incorporating an AI section into a code of conduct might not suffice. A more helpful strategy could involve linking AI guidelines with the wider ethical values of the organization.

This can make the policy easier for employees to understand because it places emerging technology within principles they may already recognize. Instead of treating AI as an entirely separate category of workplace behavior, organizations can explain how existing standards apply when new tools are introduced.

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 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 methodology also enables enterprises to revise their guidelines whenever office environments shift. Codes of conduct and artificial intelligence ethics frameworks can adapt alongside emerging misconduct types, novel technologies, and shifting expectations regarding responsible corporate conduct.

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.