Artificial Intelligence Ethics Certification

Explore global AI ethics principles from seven influential sources and analyze safety, explainability, human rights, privacy, and bias to guide responsible AI design and governance.

explores beneficence and nonmaleficence through the ethics of safety and design in crisis response, examining drone technologies for wildfire monitoring, classifying threats, and locating missing persons.

Robotto founder shares safety in design through transparency and public engagement, detailing ethics committees and open disclosure about autonomous drones to foster responsible AI use and constructive dialogue.

Explore beneficence, safety by design, and technical robustness to ensure AI behaves reliably and minimizes harm. Learn from real-world failures like Watson's cancer advice to guide risk-aware, human-centered design.

Explore attribution and liability in AI systems, analyzing the 2018 Tempe self-driving crash, and ethical duties across developers, users, counsel, and sales.

Explore how data input shapes ai bias and the need for unbiased design and transparency, illustrated by the Amazon hiring tool's gendered outcomes and diverse datasets.

Learn how HireVue addresses discrimination in hiring algorithms with ethics-driven principles, explainability, and candidate feedback, and invite third-party auditing.

Explore privacy as a fundamental human right that underpins dignity, and analyze data governance and the ethical risks of facial recognition by Facebook, Cambridge Analytica, and Clearview AI.

Explore AI ethics topics from leading experts. Apply principles, statements, and ethics guidelines to actions for companies and products, with guiding questions for your cause.

Develop an AI ethics roadmap by formulating ethics statements and principles to build trust for business, customers, and society, contextualized across sectors, products, and services.

Explore the four core AI ethics areas—liability, safety, explainability, and human rights—and IBM’s five principles, including designating an AI ethics lead, risk-based rules, transparency, and fairness and security.

Explore Telefónica's three-pillar AI principles: training, by design, and governance, and a three-tier self-assessment and governance model to safeguard human rights in AI.

Discover how AI ethics extends CSR, prioritizing transparency, contextualization, and evolving roles to guide responsible governance and essential questions to ask.

Identify foundational ethical questions for AI practice, covering transparency, privacy, accountability, and value alignment to guide internal and external ethics roadmaps.

Explore ethics as the study of morality and its gatekeeper role before the law, connecting is/ought, five principles, and global leaders to ethical AI practice.