AI in the Boardroom: Responsible Innovation from Google, NVIDIA, and Microsoft

Description

This course explores the intersection of Artificial Intelligence (AI) with responsible business practices. It aims to equip future business leaders, entrepreneurs, and strategists with the skills to understand, implement, and lead AI-driven initiatives responsibly. The focus is on using AI ethically, ensuring that technology aligns with societal values, maintains transparency, and drives sustainable and inclusive business success. Students will examine case studies, engage in practical AI scenarios, and develop strategic frameworks to implement AI responsibly within organizations. See full course description Examination Information: AI in the Boardroom: Responsible Innovation from Google, NVIDIA, and Microsoft: Exam ECTS 7,5 Examination form Home assignment - written product Individual or group exam Individual exam Size of written product Max. 15 pages Assignment type Written assignment Release of assignment The Assignment is released in Digital Exam (DE) at exam start Duration 72 hours to prepare Grading scale 7-point grading scale Examiner(s) One internal examiner Exam period Autumn, the exam immediately follows the course. Make-up exam/re-exam Same examination form as the ordinary exam The retake is the same as the regular exam. The retake can be conducted as an oral exam, if necessary. Description of the exam procedure The exam consists of a case study analysis: Students are given a detailed case where a company faces dilemmas with its AI strategy. They will be asked to develop a strategic response, including ethical considerations, risk assessment, and mitigation strategies. This can include either a discussion of the role of leadership in ensuring responsible AI deployment or the task of developing an AI policy, considering potential pitfalls and governance challenges.: AI in the Boardroom: Responsible Innovation from Google, NVIDIA, and Microsoft: Exam ECTS 7,5 Examination form Home assignment - written product Individual or group exam Individual exam Size of written product Max. 15 pages Assignment type Written assignment Release of assignment The Assignment is released in Digital Exam (DE) at exam start Duration 72 hours to prepare Grading scale 7-point grading scale Examiner(s) One internal examiner Exam period Autumn, the exam immediately follows the course. Make-up exam/re-exam Same examination form as the ordinary exam The retake is the same as the regular exam. The retake can be conducted as an oral exam, if necessary. Description of the exam procedure The exam consists of a case study analysis: Students are given a detailed case where a company faces dilemmas with its AI strategy. They will be asked to develop a strategic response, including ethical considerations, risk assessment, and mitigation strategies. This can include either a discussion of the role of leadership in ensuring responsible AI deployment or the task of developing an AI policy, considering potential pitfalls and governance challenges. AI in the Boardroom: Responsible Innovation from Google, NVIDIA, and Microsoft: Exam ECTS: 7,5 Examination form: Home assignment - written product Individual or group exam: Individual exam Size of written product: Max. 15 pages Assignment type: Written assignment Release of assignment: The Assignment is released in Digital Exam (DE) at exam start Duration: 72 hours to prepare Grading scale: 7-point grading scale Examiner(s): One internal examiner Exam period: Autumn, the exam immediately follows the course. Make-up exam/re-exam: Same examination form as the ordinary exam The retake is the same as the regular exam. The retake can be conducted as an oral exam, if necessary. Description of the exam procedure The exam consists of a case study analysis: Students are given a detailed case where a company faces dilemmas with its AI strategy. They will be asked to develop a strategic response, including ethical considerations, risk assessment, and mitigation strategies. This can include either a discussion of the role of leadership in ensuring responsible AI deployment or the task of developing an AI policy, considering potential pitfalls and governance challenges. Course content, structure and pedagogical approach This course explores the intersection of Artificial Intelligence (AI) with responsible business practices. It aims to equip future business leaders, entrepreneurs, and strategists with the skills to understand, implement, and lead AI-driven initiatives responsibly. The focus is on using AI ethically, ensuring that technology aligns with societal values, maintains transparency, and drives sustainable and inclusive business success. Students will examine case studies, engage in practical AI scenarios, and develop strategic frameworks to implement AI responsibly within organizations.