Always register only through swayamplus.education.gov.in · Beware of fraudulent phishing emails
Always register only through swayamplus.education.gov.in · Beware of fraudulent phishing emailsAlways register only through swayamplus.education.gov.in · Beware of fraudulent phishing emails
The course introduces some guiding principles of ethics for the application of AI in a responsible manner.
Offered by Intel64 hrsEnglish, HindiMultiple instructors with PG/ PhD experience in AI, Data Science, ML
Learning outcomes
Describe the role of responsible use of technology, such as AI, in bringing the greater good to society
Examine the role of ethics in building responsible AI solutions
Distinguish and describe different principles of Ethical AI. These principles include but are not limited to human-centered AI, ensuring transparency, fairness, autonomy, beneficence, non–maleficence, privacy, etc.
Examine common ethical pitfalls of AI (such as bias, unintended consequences, non-compliance, privacy violations, etc.) and explore ways to avoid them
Be able to take an ethics-first approach to development using the AI project cycle
Review and examine different approaches (such as rule-based, top-down, bottom-up, etc.) for designing ethical AI
Describe what ethical frameworks are and review how to use relevant frameworks for analyzing ethical dilemmas
Apply different ethical frameworks such as bioethics, Kantian ethics, virtue-based ethics, and utilitarianism for analyzing and resolving various ethical dilemmas
Assess the impact of AI solutions and their various ethical implications and develop plans to mitigate unintended consequences
Identify the importance of interpretability in AI models and its potential impact on decision-making and trust
Identify the potential risks and consequences of data breaches and privacy violations
Formulate a plan for ensuring the ethical use of AI post-deployment of a proposed solution
Establish a code of AI ethics for individuals and organizations
Analyze, evaluate, and critique current AI ethics codes
More details
The course introduces some guiding principles of ethics for the application of AI in a responsible manner.
Different approaches for designing ethical AI and examining common ethical pitfalls are discussed.
Students get a chance to explore different ethical frameworks, which will help them navigate the pitfalls of unethical uses of AI and help evaluate the impact of unintended consequences of non-responsible use of AI.
Session timing: Monday to Friday (04:00 PM - 06:00 PM)
Assessment & certification
Assessment feeIncluded — no extra fee
ModeOnline
TypeMCQ
Assessment providerIntel
Certificate providerSWAYAM Plus and Intel
Intended audience
NA
Prerequisites
Students enrolled in a higher education institute with basic digital literacy
Level
Certification
Skills you'll gain
Responsibly using technologySound AI solutionsIdentifying and mitigating ethical pitfallsApplying various ethical frameworksConducting impact assessmentsEnsuring post-deployment ethical practices