AI Ethics Expert; Philosopher; Founder and Director of AI Ethics Lab; AI Ethics advisor to the UN, WEF, INTERPOL; Director of Responsible AI, Northeastern University
As AI increasingly permeates organizations and everyday life, how can we ensure its benefits surpass its risks? Dr. Cansu Canca, a leading expert in AI ethics, addresses this critical challenge. A pioneer in the field, she leads a multidisciplinary team of computer scientists and philosophers, providing guidance to companies on building ethically sound AI systems and establishing robust AI governance strategies. A two-time TEDx speaker and ethics advisor to Fortune 500 companies, the UN, the World Economic Forum, and INTERPOL, Dr. Canca transforms complex ethical issues into memorable ideas and actionable solutions in her talks.
Dr. Cansu Canca is a philosopher and the Founder and Director of AI Ethics Lab, a pioneering initiative focusing exclusively on advising practitioners and conducting multidisciplinary research on AI ethics. She also serves as the Director of Responsible AI at the Institute for Experiential AI and holds a position as Research Associate Professor of Philosophy at Northeastern University. Leading a team of computer scientists, philosophers, and legal scholars, Dr. Canca provides expert, research-driven consulting on integrating ethical analysis into AI innovation and developing responsible AI governance and strategy for organizations. Her expertise is sought after by various ethics, advisory, and editorial boards, and she advises Fortune 500 companies, the World Economic Forum, the United Nations, and INTERPOL.
A two-time TEDx speaker, Dr. Canca has delivered over 100 talks on AI ethics, including keynotes at institutions such as Harvard Business School, the U.S. Department of Justice, the U.S. Department of Health & Human Services, and the United Nations. She has been recognized among the “30 Influential Women Advancing AI in Boston” and the “100 Brilliant Women in AI Ethics”, was nominated for VentureBeat’s “Women in AI” award and honored with Mozilla’s “Rise25 Change Agent” award. Prior to founding AI Ethics Lab, she was a full-time faculty member at the University of Hong Kong, and an ethics researcher at the Harvard Law School, Harvard School of Public Health, Harvard Medical School, National University of Singapore, Osaka University, and the World Health Organization.
Cansu Canca on Incorporating Ethics in the Innovation Process
Cansu Canca talks Why You Shouldn’t Ignore Ethics
Cansu Canca speaks on Privacy Preserving
Cansu Canca talks about Technology Enhancement through Ethics
Cansu Canca speaks on Solving Ethical Problems
Cansu Canca’s Speech Topics
Ethical Dimensions of AI in Law Enforcement: Balancing Innovation with Responsibility
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.
Navigating the Ethical Landscape of AI in Healthcare: Risks and Strategies
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.
A Strategic Approach to Responsible AI: Transforming Ethical Goals into Action
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.
Investing in AI Responsibly: A Framework for Ethical Risk Management
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.
AI Governance in the Boardroom: Guiding Ethical Leadership and Innovation
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.