AI is advancing in its skills each year, increasing its ability to do any job. But companies have learnt the hard way that it needs human supervision. In other words, AI can be a colleague, not a replacement for employees. So, what companies need more and more are people who understand how to leverage AI at work. Take a look at the AI management guide as a handy summary of things you need to know to do this effectively. There are plenty of courses to learn AI. However, if you are not interested in coding or building AI models, and would instead like to learn about AI from a management perspective, you can always check out the certificate course mentioned above at www.ClassesAI.com ​ As you read the course details, it will help you better understand the key topics to know in AI in order to understand, use and manage it successfully and responsibly.

An AI model is created to perform specific tasks as per its intended use case. For instance, we don't create AI to "do Marketing" but to "profile different types of customers" or "send emails and follow-up" as part of a Marketing job. AI's overall ability to do a job, therefore, depends on the share of tasks within that job that AI can reliably execute with minimal supervision.

AI can perform many tasks better than we can because it is adept at assessing more information quicker and at a lower cost than we can. However, it is more advanced in certain functions than it is in others, and its ability to do a certain job depends on who has the power to make strategic investment decisions in a company. What limits AI's ability to do our tasks are the human elements of our work: dealing with uncertainty and improvise, assessing subjective information from even unspecified sources, using emotion or a "gut" feeling, and preferring control over important things. Hence, the focus on these aspects of a job.

Likely not. A common mistake is to assume that a job title has the same role and tasks in all companies. In reality, a "Director of IT" is likely to have very different responsibilities in a start-up or a large corporation, or even among different industries. That is why this score relies on your accurate and honest depiction of your job profile, i.e. to what extent are the tasks rule-based, predictable, requiring emotion and critical to the business. ​ The self-assessment can vary in two other ways: First, the subjective understanding of a job can be different for you and your colleagues or employers. Second, our awareness of AI's abilities today may also be different from reality. For example, robot nurses have been deployed in senior care homes in some countries to offer companionship to lonely elders. In this instance, AI is executing what would normally be perceived as role high in emotion and low in predictable processes.

Jobs evolve with every technological insurgence. For example, we do not have the role of "typists/typewriters" anymore, while the role of marketers has thrived but is very differentiated from what it used to be. AI's impact is likely to evolve today's jobs into one where we move from managing tasks to managing AI solutions doing those tasks. Even at its best, AI is expected to be as good as humans, and humans are known to produce the best results in teams. So, AI will always be a colleague working with us than without us.

Absolutely not. Take the example of Microsoft Office, a technology that was once new but everyone today is expected to know and use at a basic level. That does not mean we have to learn its backend code to use it well! ​ The bulk of AI investments in organizations fail today not because of a lack of people developing good AI solutions, but because others using it (the end users, decision makers and investors of AI) generally do not understand how/when to use it well. Most of us do not need to learn to code but need to learn about AI well enough to understand: - how different AI techniques do what they do - when to use AI at work - qualify which AI solution is more suited to our needs, and what it will need - how to get the team, data and process ready to use AI, and how to manage them - how to use AI successfully and responsibly - move from being replaceable by AI to managing it when it is ready to take over our tasks Take a look at the AI management guide as a handy summary of things you really need to know. You can learn these skills on managing AI at www.ClassesAI.com