This lecture discusses the ethical considerations surrounding artificial intelligence (AI) in technology. It begins with an introduction to the instructor and the importance of ethics in AI development. The lecture outlines a systematic investigation of values that engineers and design teams must consider when creating technological tools. It focuses on the first family of ethical questions, specifically the ethics of data, algorithms, design, sustainability, and responsibility. The instructor emphasizes the significance of data quality and the biases that can arise in datasets, as well as the ethical implications of algorithmic choices and the need for transparency in AI models. The lecture also addresses the ethical design of user interfaces, the environmental impact of AI tools, and the accountability of designers and companies in the event of issues arising from AI use. Overall, the lecture provides a comprehensive overview of the ethical landscape in technology, particularly in relation to AI, and sets the stage for further discussions on societal impacts and justice.