Introduction To The Ethics Of Artificial Intelligence

From deep fakes to chatbots, artificial intelligence (AI) is an increasing presence in our lives and workplaces – but this raises ethical implications for businesses. This micro-credential is ideal for leaders and digital professionals who want a better understanding of the opportunities and risks of AI and how these can impact organisations. Informed by leading research from the Centre of Artificial Intelligence and Digital Ethics (CAIDE), learning and assessment in this course are aligned to SFIA 8. Explore key AI terminology, benefits and opportunities: Discover the history and context of AI and understand why it's one of the most important advances in computing technology. Understand key terminology and explore AI capabilities, benefits, opportunities and limitations. Apply ethical frameworks and theories to AI in your workplace: Examine concepts of trust and power and how they relate to technology and ethics. Explore ethical theories and frameworks and consider how they may apply to AI systems in your own organisation. Access real-world industry case studies: Benefiting from CAIDE's links to industry, you'll hear business and technology leaders discuss key case studies that contain vital takeaways for your own organisation. Minimise organisational risk, promote 'good' AI: Understand the possible negative impacts of AI systems and how to minimise risk. Gain an overview of AI fairness and discrimination, accountability and safety. Learn how to apply principles of 'good' AI to create responsible technology projects and reduce inequity and marginalisation. Have better business case conversations about AI: Gain the knowledge and confidence to have more effective, nuanced conversations about AI and ethics with others in your workplace and industry. You'll create an AI ethics cheat sheet that reflects key elements of this course and can be used as a tool in your organisation. Skills and learning outcomes: By the end of this micro-credential, you'll be able to: Interpret and communicate the social and ethical issues raised by the use of artificial intelligence to other technical professionals and the wider community; Apply established ethical frameworks to demonstrate reasoning in relation to social and ethical issues in the design, development and deployment of digital technologies, with a focus on AI.