Channel: Stanford Online

Category: Education

Tags: salesforceai ethicsstanfordstanford onlineaics521ethicsstanford seminarartificial intelligence

Description: Anna Bethke is a Principal Data Scientist at Salesforce. This talk was given on March 30, 2022. In this session I will be discussing the components of AI Ethics, and ways that researchers, and AI practitioners can incorporate these components into every stage of their development process. These components include fairness, accountability, transparency, explainability and human rights. 00:38 The Principles of Ethical AI 02:23 Trusted AI Principles (Responsible, Accountable, Transparent, Empowering, Inclusive) 03:30 Why are AI Ethics Important 04:51 Technology is Dual Use 04:52 Is My Project Ethical (conduct a consequence scanning brainstorm) 06:28 Pose Estimation Software (Thought Experiment) 07:42 What are the intended positive and negative consequences of this technology? 08:34 What are the unintended positive and negative consequences of this technology? 10:41 Rate the negative consequences 11:03 What are some strategies to mitigate the negative consequences, especially the most severe ones? 11:39 Bias 12:07 Questions from the Audience 22:49 Important aspects to note 24:24 AI can become biased in many ways 25:08 Measure and mitigate sources of bias 27:57 Definitions of fairness 28:05 Open source tools 29:43 Algorithmic bias research 30:13 Accountability 31:08 Case Study 33:52 Ethical Questions we asked 34:51 Ethical Considerations 35:31 Transparency and Accountability 37:45 Transparency Research Anna's recommended reading materials: deon.drivendata.org doteveryone.org.uk/project/consequence-scanning blog.salesforceairesearch.com/ethics-in-ai-research-papers-and-articles See AI programs offered at Stanford Online: online.stanford.edu/artificial-intelligence