## Stakeholders Interests in AI Systems Artificial Intelligence (AI) is a branch of computer science focused on creating computer-controlled machines that can intelligently perform human-like tasks. It involves building an "intelligent brain" into machines, giving them decision-making capabilities to solve complex problems. ### Stakeholders in AI Systems A **stakeholder** is an individual or group affected by an AI system or who has an interest in its social impact. As AI transforms various sectors, it introduces ethical, social, and legal challenges that concern these stakeholders. **Examples of Stakeholders:** * End users * Developers * Customers * Suppliers * Employees * Regulators * Funders * Owners * Policy makers * The community ### Positive and Negative Impacts of AI Systems AI's decision-making capabilities are replacing human decision-making across industries. However, AI predictions are based on data patterns and machine learning, which means they are not guaranteed to be correct. This duality leads to both positive and negative impacts. #### Positive Impacts of AI * **Unbiased Decisions**: AI makes decisions based on reason and logic, free from emotional bias. For example, an AI recruitment system hires applicants based on skills and qualifications, not on ethnicity or demographics. * **Around the Clock Availability**: AI systems can operate 24x7 without breaks, maintaining high efficiency and accuracy. An example is an online customer support chatbot that assists customers at any time. * **Zero Risk**: AI-powered robots can perform dangerous tasks in hazardous environments, such as defusing a bomb or working in risky manufacturing facilities, thus protecting human lives. * **Reduction in Human Error**: When programmed correctly, AI systems minimize human errors and deliver high accuracy. For instance, robotic surgery systems can perform complex operations with great precision, enhancing patient safety. #### Negative Impacts of AI * **Less Creativity and Emotions**: AI systems lack the ability to be creative or experience emotions. Their decisions are based on algorithms and data, whereas human creativity is driven by experience, emotion, and imagination. * **Lack of Employment**: The increasing use of robots and AI in industries to replace human workers can lead to unemployment. For example, robots are replacing humans in manufacturing and in hotels for tasks like cleaning and luggage transport. * **Ethical and Moral Concerns**: It is challenging to program ethics and morality into AI. There is a societal concern that AI could grow uncontrollably and potentially pose a threat to humanity. * **High Cost**: Developing machines that simulate human intelligence is extremely expensive, requiring significant time, resources, and the latest hardware and software. ### Conflicting Requirements of Stakeholders Developers of AI applications must manage diverse and often conflicting requirements from various stakeholders to ensure the project's success. This is a critical phase, similar to the requirements gathering in the . **Sources of Conflict:** * Stakeholders may have different expectations, desires, and goals. * They might agree on a need but disagree on the implementation method. * Conflicts can arise from different interpretations or understandings of a problem. **Impact on Development:** Conflicting requirements make the design and development of AI applications more difficult, as developers must find ways to satisfy all stakeholders. It is crucial to resolve these conflicts rather than suppress them. | Positive Impacts of AI | Negative Impacts of AI | | :--- | :--- | | Unbiased, logical decisions | Lacks creativity and emotions | | 24/7 availability and efficiency | Can lead to unemployment | | Reduces risk in hazardous tasks | Raises ethical and moral concerns | | Minimizes human error | High development and maintenance cost |

5.6 Stakeholders Interests In AI Systems | Application Of Computer Science | Computer 11