Learn about the multidisciplinary field of AI Ethics and how it aims to maximize the benefits of artificial intelligence while minimizing risks and unintended consequences. Key concepts covered in the IBM AI Fundamentals certification exam.
Table of Contents
Question
_______________ is a multidisciplinary field that investigates how to optimize AI’s beneficial impact while reducing unintended or adverse outcomes.
Answer
AI ethics
Explanation
AI ethics optimizes beneficial outcomes, reduces adverse and unintended negative effects, and increases people’s trust in AI.
AI Ethics is a multidisciplinary field that investigates how to optimize AI’s beneficial impact while reducing unintended or adverse outcomes. It brings together experts from computer science, philosophy, law, sociology, psychology and other fields to wrestle with the complex challenges posed by increasingly capable AI systems.
Some key issues and questions that AI ethics focuses on include:
- How to ensure AI systems are fair, unbiased, and non-discriminatory
- Protecting individual privacy and data rights in an era of big data and AI
- Promoting transparency and accountability in AI development and deployment
- Mitigating risks of AI being used for malicious purposes
- Considering the economic and societal impacts of AI-driven automation
- Developing guidelines for ethical AI design and governance frameworks
The goal is to proactively address these challenges so that humanity can reap the immense potential benefits of AI – in healthcare, education, scientific research, sustainability and more – while thoughtfully navigating the risks and pitfalls. This requires ongoing collaboration between AI technologists and ethics/humanities experts to align the trajectory of AI progress with human values and priorities. With the rapid advancement of AI capabilities, the field of AI ethics has emerged as a critical area of focus and investment.
IBM Artificial Intelligence Fundamentals certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Artificial Intelligence Fundamentals graded quizzes and final assessments, earn IBM Artificial Intelligence Fundamentals digital credential and badge.