Welcome to the crossroads where the rapidly evolving world of AI meets the age-old mystery of ethics. Here, we'll engage in a spirited chase of the elusive "ghost protocol" that regulates the deployment of AI within our economic enterprises. It's a realm where efficiency is hunted in harmony with the ethical quilt and where human-in-AI interactions reshape the contours of our workspace. Buckle up; it's going to be a riveting ride!

Data ethics, the invisible guardian of our digital universe, continually strive to balance user convenience and privacy. In this age of data deluge, digital privacy is not just a luxury; it's an imperative. However, poor application of data ethics can lead to Pandora's box of troubles, including unfair decisions based on mishandled or inaccurate data.

Ethical data management shouldn't just be an afterthought; it needs to be part of the corporate identity. It acts as a lighthouse, guiding every aspect of an organization—right from shaping the employee experience to polishing customer interactions. In this vein, training employees on data ethics is akin to handing them the keys to the kingdom of trust—both for customers and employees.

AI's integration into workforce management is akin to threading a needle in the dark; it's fraught with ethical implications. From recruitment processes to employee engagement plans, AI's role should be transparent, devoid of bias, and consistently reviewed to promote diversity, inclusion, and trust.

Despite the tantalizing allure of AI, humans remain the stars in the corporate constellation. Human oversight is crucial to intercept bias in decision-making and to recalibrate performance goals to prevent employee burnout. Moreover, the continual review of AI algorithms is a necessary investment to ensure fair and ethical business decisions.

The story of AI in the workplace is a tale of two cities. On the one hand, AI can inject efficiency into frontline roles and empower employees through personalized experiences. On the other hand, it presents a minefield of ethical challenges, including privacy breaches, biased decision-making, and consumer behavior manipulation.

To navigate the ethical minefield, businesses need to set the compass towards ethical AI guidelines focusing on transparency, accountability, fairness, and privacy. This journey requires the active involvement of all stakeholders, constant monitoring, and rigorous ethics training for AI teams.

Regulation is the intricate dance between the freedom of AI use, respect for consumer privacy, and societal norms. Regulatory frameworks like GDPR and CCPA have set the stage, emphasizing ethical data management and AI practices to protect consumer rights and ensure compliance.

From research papers to reports on AI's potential impacts, and perspectives of notable figures, the ghost protocol's imprints are visible globally. It weaves a complex narrative, covering AI monopolies, workforce displacement, cybersecurity threats, AI's impacts across various industries, and the pressing need for robust regulations.

Every journey through the AI labyrinth should be guided by a compass that points towards responsible AI development. This compass should account for bias, fairness, societal impact, transparency, accountability, and algorithmic fairness in AI development. As we explore this labyrinth, we must be mindful of the potential job switches and automation due to AI, sector-specific impacts, and the broader environmental implications.

In conclusion, the ghost protocol behind the screen of AI ethics and compensation synchronization in the corporate world is complex, multi-dimensional, and ever-evolving. It requires continuous navigation and adjustment to ensure a harmonious coexistence of humans and AI within the corporate cosmos. So, the next time you engage with AI at your workplace, remember, there's a ghost in the machine, and it's up to us to ensure it's a friendly one!