Summary: 1. Introduction. – 2. Methodology. – 3. The Legal Challenges of Automation in the Workplace. – 3.1. Automation and Discrimination in the Workplace. – 3.2. Automation and Privacy Violation in the Workplace. – 3.3. Automation and Liability in the Workplace. – 3.4. Automation and IP in the Workplace. – 3.4.1. Determination of Ownership. – 3.4.2. AI Infringement and Liability. – 5. Conclusion.
Background: In recent years, the development of AI has increased, and employers have begun to rely on AI to deliver tasks such as recruiting, mentoring, and training. This reliance has raised concerns about the legal challenge AI may impose in the workplace. Several countries have established certain guidelines to minimise this implication and ensure benefits from such technologies. Other countries have not taken any action to address the issue. This creates ambiguity for employers, employees, and third parties on how to navigate AI technologies without violating relevant laws.
Methods: The paper contributes and aims to remove the ambiguity surrounding automation and the workplace by examining how artificial intelligence affects employment and exploring possible solutions to overcome these challenges. To achieve this, the study analyses each legal issue through legal opinions, court rulings, and a review of existing laws. The research primarily focuses on the US experience while incorporating insights from other jurisdictions, including the UK, Ukraine, Korea, Japan, Australia, and Saudi Arabia. Ultimately, the study aims to examine whether AI can be effectively integrated within current legal frameworks.
Results and conclusions: The study finds that AI imposes various challenges on the workplace that challenge laws and regulations. However, it concludes that it is possible to achieve the most beneficial outcome with the adoption of several legal alterations that ensure protection, justice, and values.