Responsible AI | Cybersecurity

In today's fast-paced business world, AI is revolutionizing operations and offering a competitive edge through its wide-ranging applications. By integrating AI, companies can enhance efficiency and strategic capabilities, with tools that make AI more accessible to a broader audience. Explainable AI plays a crucial role by ensuring transparency and building trust through clear decision-making processes. Building responsible 

Alan Mariotti - Wharton School of Business | Artificial Intelligence

AI governance is essential for ethical implementation, while effectively managing large datasets and addressing AI-related risks, biases, and privacy concerns. Additionally, cybersecurity responsibility becomes increasingly important as AI systems can be targets for breaches. Ensuring robust security measures protects both data integrity and user privacy. For a deeper dive into these subjects, Professor Hosanagar's book provides valuable insights into managing AI responsibly and securely in the business context.