Executive Summary and Reflection
Executive Summary
Executive Summary
Employee onboarding is another aspect that could be helped by the implementation of AI. Onboarding sets a new employee's initial perception of a workplace and the rules and expectations for employees in that work environment and aids a new employee in quickly becoming a valuable member of a company. Many companies are currently using a method for onboarding that is overwhelming, monotonous, and not always consistently taught. This includes providing new employees with copious amounts of information at one time as well as having HR employees and managers answer the same questions repeatedly. An AI could create a more efficient and individualized onboarding process while retaining human leadership and responsibility.
One perk that AI in onboarding can provide is the accessibility to answers instantaneously. An AI could act as a resource for employees to ask questions about hours, benefits, payroll, policies, or documents that they will need. It can provide an answer without an employee needing to wait for their response via email or call within work hours. The AI could provide onboarding documentation in an amount that the new employee is ready to consume at each stage instead of dumping information onto them in a large file. This may decrease the confusion and improve an employee's experience.
AI can improve a company's training with its capacity to customize learning experiences. Employees are all unique in their experience, skill levels, and way of learning. The use of an AI in learning modules could suggest specific modules based on the new hire's position and training progression. Generative AI may be able to create welcome guides, explanations of policies, topic points for meetings, or the training materials themselves. An AI could implement workflow automation that can automate notifications for required modules and also assist with communication across departments.
There also need to be a few controls that need to be implemented ethically. Firstly, there is privacy and security of data; employees will be required to submit sensitive information such as addresses, tax forms, government documents, and bank information to the organization when onboarding. The AI should only collect relevant data, which should be securely stored, and employees should be informed where the data is being kept and how it is being used. Secondly, there is bias and fairness; if the AI is used to tailor training or monitor progress, the leaders need to ensure that it does not disadvantage people due to characteristics such as race, gender, disability, language, or other personal attributes. Thirdly, it needs to be transparent; the employees need to know they are interacting with AI and there will be human support available.
In terms of piloting AI ethically in onboarding, I would make two recommendations: Firstly, run a small pilot study that tasks AI with the lowest-risk activities, such as responding to frequently asked questions or sending out standard emails. In doing so, leaders can determine how useful the tool is without putting it at too much risk. Secondly, before increasing the scope of AI, a very basic AI governance plan needs to be put into place. This plan needs to detail what privacy is expected, what the human control will be, how to monitor accuracy, and how to report mistakes. When all of these things are in place, it needs to be measured through efficiency, confidence, fairness, and job satisfaction.
Reflection
Reflection
This class has made me reevaluate the practical applications of artificial intelligence. In the pre-class years, my understanding of AI involved either automation or content generation, but I have realized that AI is as much about leadership as it is about technology; it depends on how organizations deal with people, communicate, train employees, and embrace their own sense of ethics and responsibility. AI is no longer a simple luxury but something for which I need to be held accountable and in which I must take a conscious approach to practice.
An exercise that made the largest impression on me was the task of explaining what AI means for business. It challenged me beyond mere consideration of the usefulness of AI; instead, it raised the question of how it should be utilized. It led me to ask other questions, for example: What business problem does it solve? Who benefits from it? And what are the potential harms it poses, and what sort of oversight must it have? It is with these questions in mind that I came to the conclusion that technology implementation is fundamentally about judgment and values of leadership, rather than simply about adopting innovations.
An additional and fundamental aspect I learned in this course is the ethical dimension of AI implementation. Although I am familiar with much of the criticism of algorithms' bias and the lack of privacy in the new technology, I now have a much clearer picture about the practical applications of that issue. An ethical approach to implementing AI goes beyond merely the mitigation of obvious harm; rather, it addresses fairness, responsibility, transparency, and regard for humanity. We cannot rely on an algorithm to be impartial and objective; therefore, it is imperative that a decision-making process based on an algorithm still needs a human being to make final choices about issues that concern employees.
As a professional in the future, I would also apply AI to aid my communication, planning, research, and process improvement. I could imagine how it could be applied to summarize long reports, assist in the creation of the first draft of writing tasks, structure ideas, and enhance my productivity. Nevertheless, I would never make a leap of faith in its abilities, but I can imagine that AI would aid and not eliminate human perception. There still is just too much room for empathy, context, and sound decision-making that does not merit outsourcing fully to technology, especially in leadership positions.
Trust would be the largest implication I would keep in mind. If this technology is used without the frameworks in place, it can enable an organization to facilitate a state where workers feel watched, excluded, and underestimated. This can be disastrous for employee morale and the organization culture itself. The leaders’ approach to using AI is something that must be made thoughtfully and strategically. The primary message that I will take away from this course is that artificial intelligence fluency means more than the knowledge of the technology itself; it means being knowledgeable of when to utilize it, what to question, and how to thoughtfully keep human values at the core of organizational decision-making.
To summarize, I think the course made me more aware and conscious about artificial intelligence. It is not simply a means to an end in order to achieve efficiency; it is also something that needs critical thinking, ethical considerations, and responsible leadership. I look forward to applying AI in the workplace to make communication, education, and decisions more meaningful and in a fair and accountable way. Perhaps the most valuable lesson that I will take away with me from the course is that fluency in AI is more than the mastery of the usage of this technology but the ability to wield it in a conscious, critical, and human-centered fashion.