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Responsible AI : ethics and governance in the workplace.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Work environment.
- Artificial intelligence--Moral and ethical aspects.
- Physical Description:
- 1 online resource (1 video file (1 hr.) : sound, color.
- Edition:
- [First edition].
- Place of Publication:
- [Place of publication not identified] : Simon Sez IT, 2026.
- Summary:
- Responsible AI: Ethics and Governance in the Workplace explores the essential principles of using artificial intelligence ethically in business settings. The course addresses how AI tools like ChatGPT and Microsoft Copilot are being integrated at a pace that often outstrips company policy development. You will learn to proactively address the legal, ethical, and reputational risks associated with these powerful tools, ensuring their safe and trustworthy use. This training equips you with the essential knowledge to implement responsible AI practices, understanding why systems can misbehave, from algorithmic bias and the 'black box' problem to common AI hallucinations. You will explore the evolving global regulatory landscapes and learn to adopt a responsible AI mindset focused on human-centered development rather than mere compliance. Explore core ethical principles like fairness, transparency, and accountability within your organization. This approach will help you understand how to put in place measures to protect your company, customers, and employees from harm, build lasting trust, and secure sustainable innovation in the AI era. This course will teach you how to: • Define responsible AI principles for ethical implementation. • Identify key risks of integrating AI into the workplace. • Mitigate challenges like AI hallucinations and algorithmic bias. • Apply core pillars of ethical AI in organizational practices. • Navigate the evolving global regulatory landscape for AI. • Develop a human-centered mindset for AI governance. • Implement responsible AI practices to protect stakeholders. The following files are included in the Resources section below: Course Infographic - Used to provide an additional learning option.
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1601038255
- Publisher Number:
- 10321SIMONSEZIT
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