The AI road map is a comprehensive guide to implement AI in your business. It covers everything from AI strategy and planning to implementation and operations. However, in general, an AI road map is a plan of action for how an organization or individual intends to achieve their AI-related goals.

A strong background in programming, systems analysis and proficiency in numerous computer languages are prerequisites for a career in AI. With a bachelor's degree in data science, mathematics, or computer science can make you qualified for entry-level work in the AI industry but to be an expert you need to have a special skill set that includes:
- Programming Skills
- Knowledge of Algorithms and Frameworks
- Linear Algebra, Probability, and Statistics Skills
- Knowledge of Big Data Technologies
- Communication and Problem-solving Skills

Making the AI Road map can be done in the following steps:
- Assemble an AI governance board
- Define your AI objectives, use cases and ethical principles
- Perform an AI risk assessment
- Implement controls and compliance measures
- Manage and maintain your data
- Monitor, update and refine your strategy

A business AI road map can be mentioned in 4 easy steps that are as follows:
- Start with the appropriate issues: Assuming you are building “Translation tool”, The issues can be , the tool result are not grammatically correct or not close to context. Problem scoping will help AI to be well implemented.
- Specify the business results : Means using AI as a tool to reach a higher-order goal and don't add AI for the sake of adding , specify the main goal of using AI in your business.
- Organize and collect your data : AI works best with "Clean data". You'll need your data in a proper format so AI recognize the patterns & provide the best result.
Pick the appropriate technology : After ensuring your data is ready for AI, pick the type of AI that can be implemented in your business.

1.Threat to Privacy: An AI program that evaluates voice, translation and understands natural language is in theory able to recognize conversations on e-mail and telephones.
2.Threat to Human Dignity: AI systems started to replace the human workforce in some profession.
3. Threat to Safety: Sometimes, the strictly self improving AI systems may become so mighty than humans, which can get out of control and lead to an unintended consequence.