AI ethics and governance focus on developing and deploying AI systems responsibly, ensuring fairness, transparency, accountability, and adherence to ethical principles and legal frameworks Explanation Privacy AI systems can collect and store large amounts of personal and professional data. This data must be protected to avoid misuse and unauthorized access. Transparency AI algorithms can be complex, making it hard for people to understand how decisions are made. Transparency helps ensure fairness and equality. Accountability Organizations should establish clear processes for escalation and governance. They should also offer recourse if customers are dissatisfied. Bias AI models can have biases based on social constructs like gender, race, and social class. AI systems can be exposed to the prejudices of the people who developed them. Safety AI should not be a threat to people's mental integrity or physical safety. Other ethical considerations for AI include: fairness, human rights, reproducibility, sustainability, and data governance. AI ethics is a multidisciplinary field that aims to ensure AI technologies respect human values. [ Coding, Programming, DSA, Python, Java, C++, SQL, JavaScript, Web Development, Software Engineer, Frontend, Backend, Full Stack, Data Structures, Algorithms, System Design, AI, Machine Learning, Data Science, Cybersecurity, Cloud Computing, DevOps, Computer Science, BTech, CSE, IT Jobs, Software Developer, Job Search, Career Growth, Job Openings, Placements, Internships, Resume Tips, Interview Prep, HR, LinkedIn Jobs, Networking, Career Development, Salary Negotiation, Job Market, Freshers Hiring, Campus Placements, Career Advice, Upskilling, Certifications, Professional Growth, Freelancing, Side Hustle, Corporate ] #ai #aiagent #technology #jobs #elonmusk #masters #usa #texas #telugu #chatgpt #students #engineering #artificialintelligence