AI Ethics
The ethics of computing refers to the branch of technology ethics focused on robots and other artificially intelligent beings. It is typically divided into two main areas: robo-ethics and machine ethics. Robo-ethics concerns the ethical behavior of humans in designing, building, using, and interacting with artificially intelligent beings. It explores issues related to responsibility, fairness, and the impact of AI on society. Machine ethics, on the other hand, focuses on the ethical behavior of artificial agents themselves, addressing questions of moral decision-making, autonomy, and the responsibility of AI systems in carrying out tasks.
- Robot Ethics
- Machine ethics
Related Conference of AI Ethics
October 28-29, 2025
8th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 27-28, 2025
3rd World Summit on Big Data, Machine Learning and Artificial Intelligence
Dubai, UAE
November 27-28, 2025
11th World congress on Big Data, Computer science, Analytics and Data Mining
Paris, France
December 01-02, 2025
11th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 11-12, 2025
24th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
December 15-16, 2025
6th International Conference on Aerospace, Defense and Mechanical Engineering
Amsterdam, Netherlands
December 17-18, 2025
7th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
December 17-18, 2025
12th Global Meet on Wireless and Satellite Communications
Aix-en-Provence, France
AI Ethics Conference Speakers
Recommended Sessions
- Web-based Training Environment
- AI Ethics
- AI for Cyber Security
- AI in Healthcare
- Ambient Intelligence
- Artificial Intelligence in Gaming
- Artificial Intelligence in Music
- Artificial Neural Networks
- Bioinformatics
- Biometrics
- Cloud Computing
- Convolutional Neural Network Model
- Deep Learning
- Development in predictive analytics
- Digital Avatars
- Machine Learning
- Natural Language Processing
- Robotics and Mechatronics
- Self-Organizing Neural Networks
- The Next Generation of Artificial Intelligence
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