Learn how organizations can responsibly implement AI for internet security while addressing employee privacy concerns. Explore ethical practices and transparency to build trust.
Table of Contents
Question
An organization is implementing AI to improve internet security and avoid security breaches. AI will track the browsing data of all employee, which raises concerns among employees. How should the organization handle this?
A. Use the data responsibly and communicate to employees that their right to privacy is of the highest importance.
B. Use the data in any way necessary to give the business profit margin the highest priority.
C. Use the data to decrease the number of incorrect claim approvals. If needed, use other sources of data as well.
D. Ensure that stakeholders know all the processes involved to increase profits.
Answer
A. Use the data responsibly and communicate to employees that their right to privacy is of the highest importance.
Explanation
When implementing AI to improve internet security and prevent breaches, organizations must balance technological benefits with ethical considerations, particularly regarding employee privacy. The correct approach in this scenario is:
A. Use the data responsibly and communicate to employees that their right to privacy is of the highest importance.
Why Option A is Correct
- Ethical Responsibility: Organizations must prioritize ethical AI practices, ensuring that employee data is used responsibly and transparently. This fosters trust and prevents potential misuse of sensitive information.
- Transparency and Communication: Employees should be informed about what data is being collected, how it will be used, and the purpose behind the monitoring. Clear communication demonstrates respect for employees’ autonomy and builds a culture of trust.
- Privacy Protection: Safeguarding employee privacy is critical to avoid creating a toxic or mistrustful work environment. Excessive surveillance can lead to anxiety, reduced morale, and legal risks if privacy rights are violated.
- Legal Compliance: Many jurisdictions have strict data protection laws (e.g., GDPR in the EU) that require organizations to handle employee data responsibly, ensuring it is only used for its intended purpose and securing informed consent from employees.
- Balancing Interests: While AI can enhance security, it must not come at the expense of employee rights. Ethical AI deployment aligns organizational goals with employee well-being, ensuring mutual benefits.
Why Other Options Are Incorrect
Option B (Profit over Privacy): Prioritizing profit over privacy disregards ethical considerations and risks creating a hostile work environment, eroding trust among employees.
Option C (Focus on Claim Approvals): This option is irrelevant to the context of internet security and fails to address the core issue of respecting employee privacy.
Option D (Stakeholder Knowledge for Profit): While stakeholder engagement is important, focusing solely on profits without addressing ethical concerns undermines employee trust and violates best practices for responsible AI use.
Best Practices for Responsible AI Implementation
- Ensure transparency by clearly outlining data collection processes.
- Obtain informed consent from employees before monitoring.
- Limit data collection to what is necessary for achieving security goals.
- Regularly audit AI systems to prevent bias or misuse.
- Securely store collected data to prevent breaches or unauthorized access.
By adopting these practices, organizations can leverage AI effectively while maintaining ethical standards and respecting employee privacy.
Artificial Intelligence Foundations certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Artificial Intelligence Foundations exam and earn Artificial Intelligence Foundations certification.