AI and Society

Foundations of AI Ethics and Responsible Computing Artificial intelligence touches many parts of daily life. From chat assistants to medical tools, AI helps us solve problems but can also create new risks. Foundations of AI ethics address not just what AI can do, but what it should do. Responsible computing blends technical skill with care for people, communities, and the environment. Three core ideas guide responsible AI work. First, fairness and non-discrimination mean we should prevent harm that can come from biased data or biased models. Second, transparency and explainability help people understand how a decision was made. Third, accountability and governance establish who is responsible for outcomes and how to fix problems when they appear. ...

AI Ethics and Responsible AI in Practice Ethics in AI is not a fancy add-on. It is a practical way to design tools people can trust. Teams make better products when they ask simple questions early: Who benefits? Who might be harmed? What data is used, and how is it protected? In daily work, ethics means clear choices, documented trade-offs, and ongoing monitoring. This practical approach keeps AI useful and safe as technology evolves. ...

Responsible AI in Practice Responsible AI blends powerful technology with clear moral guardrails. AI can automate useful tasks, personalize services, and solve complex problems. It can also cause harm if values are ignored or data is mishandled. The goal is to harness benefits while reducing risks through practical, transparent processes. Ethics in practice means treating people with dignity and fairness. Start with ethics as a design requirement. Define fairness goals and measure outcomes across different groups. Use diverse, representative data and test for bias. Prefer explanations in plain language where possible and provide users with simple ways to understand decisions. ...

AI in Healthcare: Opportunities and Risks Artificial intelligence is reshaping how we diagnose, treat, and manage health. It can analyze large sets of medical images, sensor data, and patient notes faster than a human can. This speed brings real benefits, from earlier cancer detection to timely alerts for critical lab values. At the same time, AI tools raise questions about trust, privacy, and responsibility. This post looks at where AI helps and where it may harm, so clinicians, patients, and policy makers can act wisely. ...