A Human-Centered Approach in AI Deployment
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The course is ideal for business leaders, policymakers, AI specialists and other professionals involved in AI deployment and/or being responsible for integrating AI into organizations. It is also relevant for anyone working in fields impacted by AI, or those interested in gaining deeper understanding of the human factors in AI deployment.Course description
Through this online course, participants will develop an understanding of how human-centered approaches can enhance AI deployment in organizations from both scientific and practical perspectives. The course examines AI deployment at three levels: individual, workplace, and European.
The course consists of teaching videos, expert interviews, selected reading materials, and related assignments. You can complete the course flexibly at your own pace from anywhere in the world. The estimated study time of the course is 27 hours, and you will have access to the course materials for 8 weeks.
The language of the course is English.
The course is divided into three modules, each focusing on a specific topic.
Modules:
- Module 1: Emotions and Decision-Making in AI
- Module 2: AI and Workplace
- Module 3: Global AI Dynamics, Regulations and Societal Impact
By joining this course, you will:
- Gain a deep understanding of AI’s role in organizations and society
- Receive insights into the ethical, emotional, and regulatory aspects of AI
- Learn practical tools to deploy AI in a human-centered and responsible manner
- Gain up-to-date knowledge of European AI regulations and their impact on business and society
This flexible course allows you to learn at your own pace while gaining immediately applicable skills to foster responsible AI integration in your organization, leading to more effective decision-making and human-AI collaboration.
After completion of the course, you will:
- Be able to approach AI deployment through individual, workplace and European perspectives.
- Have the ability to identify relevant human-related perspectives in the current AI deployment management challenges.
- Have the capacity to act related to AI deployment.