AI Ethics Keynote Speaker for Events: Futurist Scott Steinberg

Responsible AI Design and Deployment: Discusses fairness, transparency, accountability, and bias mitigation in machine learning systems, emphasizing how to prevent models from reinforcing inequality.
Data Privacy and Security: Addresses organizational practices on data collection, storage, and usage to comply with regulations and ethical standards beyond mandatory laws.
Algorithmic Bias and Fairness: Examines how biased datasets and processes can lead to discriminatory outcomes in critical areas such as hiring and healthcare.
Governance and Regulation: Considers emerging global frameworks, corporate governance, audit systems, and the oversight necessary for responsible tech usage.
Human Impact: Highlights the effects of AI on jobs, decision-making, autonomy, and trust, emphasizing the importance of keeping humans involved in AI processes.
Balancing Innovation with Responsibility: Ensures AI technologies are developed and used safely, fairly, and in alignment with societal values, promoting responsible innovation.