Register now. You can register for one or more Fast Forward sessions or for the entire conference series (with a corresponding discount and bonuses). The choice is up to you. If one of the dates doesn’t work, you can access the recorded session for 30 days (just not for CLE credit) – one advantage over an in-person conference.
12:00-1:00 pm ET
The Race Is On: Getting Ahead of Disinformation, Disruption, and Other Digital Threats to Elections
U.S. democratic institutions, and particularly our election systems, are under tremendous stress. AI is affecting elections in profound and unexpected ways. Diverse strategies of disinformation, such as hack-and-leak, coordinated automatic bot-distributed content, and AI-driven deep fake videos (often couched as news stories) amplify weaknesses and divisions and convince Americans to question the rule of law. With the rise of “big data,” AI is being used to influence elections by analyzing volumes of voters' psychological and behavioral profiles and sending individualized messages that could include distortions of candidates’ positions as well as outright fake news. Several “recommendation algorithms” could undermine informed decision-making by matching candidates to voters based on their answers to short questionnaires on non-political topics. In several elections around the world, AI systems have even created political candidates that have run for election and garnered thousands of votes. AI is facilitating cyber attacks on voter registration systems and equipment, part of the vulnerable Internet of Things. At the same time, social media companies rely on AI to identify and rout out “fake news.” Three new ABA resolutions adopted in February and August 2020 by the ABA House of Delegates highlight the work left to be done on digital threats to U.S. elections. Join us for a keynote-level “fireside chat” between former U.S. Attorney General Eric Holder and Berkley Center for Law & Technology Executive Director Jim Dempsey as they explore digital/AI threats, the current readiness to counteract these threats, and the way forward to protect our national security from hacking and disinformation.
Ruth Hill Bro, Privacy/Cybersecurity Attorney; Past Chair, ABA Science & Technology Law Section; Senior Advisor, ABA Cybersecurity Legal Task Force (Moderator)
James Dempsey, Executive Director, Berkeley Center for Law & Technology
Eric H. Holder, Jr., Partner, Covington & Burling, former Attorney General of the United States
1:15-2:15 pm ET
Without a Trace: Where Is Privacy When Conducting COVID-19 Contact Tracing?
Contact tracing is an essential tool to track down which people infected with COVID-19 came into contact with others, but memories are fallible and infected people may not know the people with whom they interacted in public settings. Contact tracing applications on mobile phones could automatically record the people that users encounter without having to know or ask them. AI-powered tools could assist in identifying trends and associations between digital contact tracing, tests, and outbreaks of disease. While nationally controlled systems for digital contact tracing are starting abroad, privacy concerns may prove an obstacle to implementation of contact tracing regimes in the United States. This program will cover how digital contact tracing might work, privacy laws that apply to digital contact tracing, and how government policy can foster privacy-protective deployments of digital contact tracing systems.
Rafael V. Baca, Partner, Adelante IP Law Group (Moderator)
Lydia de la Torre, Of Counsel, Squire Patton Boggs; Lecturer and former Co-Director, Data Privacy Certificate Program, Santa Clara Law School
Mihran Yenikomshian, Vice President, Analysis Group
2:30-3:30 pm ET
About Face: Rethinking Facial Recognition and Other Surveillance Technologies
With widespread protests taking place following the tragic death of George Floyd, coupled with the possibility of new protests following November's presidential election, the civil rights of protestors (especially people of color) are at risk from the government's use of surveillance systems. Such systems could include IoT cameras and sensors. The government could use data from pervasive sensors for AI identification and tracking applications, including facial recognition. Some are calling for a ban on the use of facial recognition for mass surveillance purposes. Others have a more nuanced view, balancing facial recognition's benefits for tracking criminals against the risk to civil rights. This program will discuss the civil rights issues associated with the use of IoT and AI systems supporting mass surveillance, the Constitutional and statutory issues with digital mass surveillance, and policy recommendations for preserving civil rights.
Lucy L. Thomson, Founding Principal, Livingston PLLC; Past Chair, ABA Science & Technology Law Section (Moderator)
Kristine Hamann, Executive Director and Founder, Prosecutors’ Center for Excellence
Matt Mahmudi, Researcher/Adviser - Amnesty Tech, Big Data, Artificial Intelligence & Human Rights, International Secretariat, Amnesty International
Rashida Richardson, Visiting Scholar, Rutgers Law School and Rutgers Institute for Information Policy and the Law; former Director of Policy Research, AI Now Institute