In this talk, we delve into the critical need for investing in AI technologies with a strategic  emphasis on responsible AI practices. As AI governance and ethical AI strategies emerge as  key risk factors for investors, the challenge lies in effectively evaluating potential investments  for their exposure to these risks.

Drawing on her work with the World Economic Forum, Canca  will help you navigate the ethical dimensions inherent in AI-first investments, offering investors  a framework for identifying and mitigating risks while fostering innovation.

By adopting these  strategies, decision-makers will be empowered to curate portfolios that not only optimize  financial returns but also contribute to long-term societal benefit, ensuring both trust and  sustainability.

In this talk, we will explore the growing importance of AI governance at the board level,  focusing on the pivotal roles and responsibilities that executives must adopt to oversee ethical  AI development.

Canca will provide insights into the critical questions boards should ask to ensure AI strategies align with organizational values, mitigate risks, and promote long-term  trust. By addressing these governance challenges, we aim to equip decision-makers with the  strategic tools needed to guide responsible AI integration while driving sustained innovation  and competitive advantage.

AI technologies introduce complex ethical risks for organizations that develop or deploy these  systems. Effectively navigating these challenges demands a comprehensive, clear, actionable,  and dynamic responsible AI strategy that is tailored to the unique needs, priorities, and values  of the organization.

This talk will focus on the three foundational pillars of an effective responsible AI framework—process, playbook, and people—and provide insights into  embedding ethical decision-making throughout the innovation lifecycle.

Drawing from AI Ethics Lab’s extensive research on AI principles and governance, Canca will demonstrate how to  translate high-level ethical objectives into tangible actions within design and development,  ensuring that ethical considerations become integral to organizational practice.

As AI technologies become integral to health and healthcare, supporting physicians in clinical  decision-making, risk assessment, and preventative care, and aiding individuals in monitoring  their wellness and making health-conscious decisions, the ethical implications of these  systems become increasingly critical.

Canca leverages her extensive expertise at the  intersection of ethics, health, and technology to elucidate the diverse ethical risks associated  with AI in healthcare. You will gain a nuanced understanding of these risks and explore  strategic approaches to effectively address and mitigate them, ensuring the responsible and  ethical deployment of AI in the health sector.

From facial recognition systems for suspect identification to pattern analysis for detecting  financial crimes, AI technologies are increasingly employed in law enforcement promising  enhanced efficiency in crime prevention and investigation. However, the ethical implications of  these technologies are profound, with concerns about algorithmic bias and extensive  surveillance raising significant risks of injustice and potential public backlash.

Drawing from her  work with the UN and the INTERPOL, Canca will explore the critical ethical considerations  associated with AI in policing and offer insights into how public safety technologies can be  developed and implemented with a commitment to ethical responsibility and social justice.