Explore strategies to overcome bias and hallucinations in generative AI models for inclusive datasets. Learn how varying data governance leaders in leading organizations are:

• Employing diverse datasets and rigorous testing to identify and mitigate biases.

• Implementing ethical guidelines and validation processes to ensure inclusivity and fairness.

• Collaborating with diverse stakeholders to address ethical concerns and promote transparency.

Explore the critical implications of AI on employment and strategies for navigating this transformational shift. This panel discusses proactive approaches for businesses to openly discuss, understand & mitigate the impact on jobs while embracing AI innovation responsibly.

• Investing in reskilling and upskilling programs to empower employees for future roles in AI-driven environments.

• Fostering open communication channels to address concerns and ensure transparency about AI integration plans.

• Implementing inclusive AI strategies that prioritize human well-being and job retention alongside technological advancement.

Join us for an illuminating talk aimed at addressing and unraveling some of the ethical complexities of the future AI landscape. As AI technologies rapidly advance, it’s crucial to proactively navigate the ethical challenges and opportunities that lie ahead.

Developing a comprehensive AI strategy encompassing governance plans and human-machine team philosophies.

• What does investing in your AI workforce look like?

• Addressing emerging ethical issues such as AI in elections, deepfakes detection, and brain-computer interfaces governance.