As artificial intelligence and machine learning continue to become increasingly sophisticated and a more prevalent part of our society, what does it mean to envision and create responsible AI? What does it mean to be a digital citizen in the age of automated decision making? How do we identify and mitigate the structural inequalities of AI and biased algorithms? What lessons can be learned from global struggles to address privacy, disinformation and personhood as “data subjects?” Where does responsibility and accountability lie in regulating and holding AI accountable: governments, digital platforms, corporations, engineering teams?
Join Cornell Women’s Network in welcoming women leaders in artificial intelligence, machine learning, data and society, law, and criminal justice on the key issues facing government leaders and business decision makers in the US and beyond. This event will feature a panel discussion focused on the impacts AI will have on human rights and digital citizenship, and how we build ethical, moral, and human values into the future of AI.
Panel Discussion Topics:
• Facial recognition and surveillance by governments and employers
• Bias in algorithmic reasoning
• Hiring and discrimination in the age of the “right to be forgotten”
• Ethical engineering and building balanced teams
• Accountability to automated decision making
• AI and human rights for digital citizenship
• Privacy and biometrics in the workplace
Date: Monday, October 21, 2019
Time: 6:30-8:30 p.m.
Location: Microsoft New York, 11 Times Square, New York, NY
Cost: $30 General Admission, $20 Young Alumni. Food & Beverages will be provided
Panelists / Moderator:
Marie-Michelle Strah, MA '94, PhD '99 is an expert in transnational cybercrime, enterprise security, global disinformation and information architecture. With more than 20 years’ experience in digital transformation, cybersecurity, information strategy, emerging technologies and risk management and compliance, she advises Fortune 500 and government clients on cloud, AI and machine learning for fraud prevention and detection solutions, as well as strategic design for privacy and security.
Dr. Strah has previously presented on disinformation as well as digital crimes at summits sponsored by The Wilson Center, CUNY, Microsoft, the Organization of American States, the Commonwealth Office and others. Dr. Strah’s previous work experience includes strategic roles at Infosys, Comcast NBCUniversal, Microsoft and GDIT. In addition, she was a US Army officer and holds an MA and PhD from Cornell University where she was a Javits Fellow.
She currently teaches in the International Crime and Justice program at CUNY John Jay College of Criminal Justice in New York. Her current research interests include transnational cybercrime and cybersecurity, disinformation and information warfare, organized crime and corruption, and cryptocurrency and payment card fraud.
Anne T. Griffin is a Product Manager and Product Coach, and formerly the Lead Product Manager at OpenLaw, blockchain-based protocol and markup language to prepare, manage, and execute smart legal agreements. Her focus is on growth and emerging technologies with a degree in engineering from the University of Michigan.
She is passionate about the practical human aspects of technology and building AI and blockchain products rooted in the realities of the human experience. She is also an Emerging Tech Correspondent for Tech 2025, a platform and community for learning about, and discussing emerging technologies. Additionally, she serves on the Rutgers University Big Data Certificate program Advisory Board and has guest lectured at Morgan State University and the University of Montreal on blockchain.
Briana Vecchione is an Information Science Ph.D. student at Cornell University and supported by a Google Women Techmakers scholarship. Her work uses causal, statistical, and other computational methods to identify and mitigate structural issues of algorithmic bias/discrimination, often related to public policy or similar human-centered domains.
In the past, she's worked as a research scientist or fellow in spaces like Spotify and Microsoft. Briana is an affiliate of AI Policy and Practice, Mechanism Design for Social Good, Queer in AI, Graduate Women in Science, and the Center for the Study of Inequality.
Esta R. Bigler ILR '70 directs Cornell ILR’s Labor and Employment Law Program, which convenes programs studying the relationship between social science research and law to address labor and employment law and workplace issues and influence litigation and public policy, including the collateral consequences of incarceration and conviction and the impact of employment on reducing recidivism.
She is very interested in issues involving artificial intelligence and discrimination. She graduated from Georgetown University Law Center.