Ethical AI is crucial in ensuring fairness, transparency, and accountability in AI systems as they become more integrated into various aspects of society.
Key aspects of ethical AI include ensuring everyone is treated equally, users understand decision-making processes, and there is human accountability behind outcomes.
To achieve ethical AI: address bias by using diverse training data, focus on transparency by making AI decisions explainable, and maintain accountability by involving humans in high-stakes decisions.
Adopting an 'Ethics-First' mindset and following established AI ethical frameworks can help in creating trustworthy AI systems that prioritize inclusivity, transparency, and reliability.