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Artificial intelligence (AI) has the potential to support politics in a number of ways, including:

  • Predicting election outcomes. AI can be used to analyze large amounts of data, such as voter demographics, past election results, and social media activity, to predict the outcome of elections. This information can be used by political campaigns to target their messages and resources more effectively.
  • Personalizing political communication. AI can be used to personalize political communication, such as ads and emails, to the individual voter. This can be done by using data about the voter's demographics, interests, and online activity to tailor the message to their specific needs and concerns.
  • Automating tasks. AI can be used to automate tasks that are currently performed by humans, such as voter registration, campaign fundraising, and constituent outreach. This can free up human resources to focus on other tasks, such as policy development and constituent engagement.
  • Analyzing policy options. AI can be used to analyze large amounts of data to identify potential policy options and their likely impact. This information can be used by policymakers to make more informed decisions about public policy.
  • Overseeing elections. AI can be used to oversee elections to prevent voter fraud and other irregularities. This can be done by using AI to monitor voter registration rolls, verify voter identification, and count votes.

However, there are also some potential risks associated with the use of AI in politics, such as:

  • Bias. AI systems can be biased, if they are trained on data that is itself biased. This could lead to AI systems making unfair or discriminatory decisions.
  • Privacy concerns. AI systems collect and analyze large amounts of data about individuals. This data could be used to track individuals' political activity or to target them with political ads.
  • Misinformation. AI systems could be used to create and spread misinformation about political candidates or issues. This could undermine public trust in the political process.

Big Data, AI and Cambridge Analytica

Election tech: How political campaigns use data and AI
Chris Wilson, CEO WPA Intelligence and former head of analytics for the Ted Cruz campaign, explains how election data modeling works.

Election tech: The future of politics is AI, big data, and social media
Strategist and election tech pioneer Joe Trippi shares the history of political data modeling, what business and politics have in common, and why the future of both depends on machine learning.

Tech Talk: Machine Intelligence and Political Campaigns
In this video, Mike Williams combines his years of government experience in Washington, DC with his passion for machine intelligence. Mike provides a baseline understanding of both political campaigns and machine intelligence before diving deeper into Bayesian machine learning and its application in collaborative filtering -- one of the methodologies for recommendation systems such as Netflix -- as a means to better target individual voters, as well as groups of voters. Watch to learn how the political campaign has become one of the most advanced and efficient startups of all time.

How Can AI Influence Elections?
Today, we're talking about how AI can influence elections, just in time for the U.S. 2018 Midterms!

Christopher Wylie explains how AI can manipulate political discourse
Cambridge Analytica whistleblower Christopher Wylie speaks to The Democracy Project on how artificial intelligence affects what users see on social media. He references an error that appeared on YouTube, where the Notre Dame fire was mistakenly affiliated with 9/11. Special thanks to SFU Public Square for arranging this interview. Check out our website: https://thedemocracyproject.ca

Can We Replace Politicians With Machines? | Alvin Carpio | TEDxOTHRegensburg
In his talk, he discusses whether it is possible to replace politicians with machines, and touches upon the wider implications of automation and machine-learning on humanity. Alvin has spent the last decade campaigning on issues of social justice, human rights, and public policy. Earlier this year he was listed on Forbes 30 under 30 EMEA for his work. In 2016 he founded The Fourth Group, a global community creating a new politics for the fourth industrial revolution (https://www.thefourthgroup.org).

A bold idea to replace politicians | César Hidalgo
César Hidalgo has a radical suggestion for fixing our broken political system: automate it! In this provocative talk, he outlines a bold idea to bypass politicians by empowering citizens to create personalized AI representatives that participate directly in democratic decisions. Explore a new way to make collective decisions and expand your understanding of democracy.

The Electome: Where political journalism meets AI
Built at the Laboratory for Social Machines (LSM) with support from Twitter and Knight Foundation, The Electome is a data project aimed at improving journalism and electoral politics in the social-media age. During the 2016 US presidential election, The Electome used machine learning, network science, and other artificial-intelligence techniques to track the public response to the campaign, with a focus on policy issues. Dozens of stories were published with news organizations including The Washington Post, CNN, and Vice. The Electome was also an official partner of the Commission on Presidential Debates, providing data and suggested questions to the moderators. One of its analytic tools was the focus of an exhibit at the Newseum in Washington, D.C. LSM is the only science lab in the world with access to Twitter’s full output of approximately 500 million tweets per day.

The Age of Machine Learning Politics | Brett Horvath
Ignite Talks is a fast-paced geek event started in 2006 by Brady Forrest and Bre Pettis. Since the first Ignite took place in Seattle around 10 years ago, Ignite has become an international phenomenon, with Ignite events produced in Helsinki, Tunisia, Paris, New York City and over 350 other locations in between.

Deep Learning Lecture 9: Using Keras to Predict Political Parties (June 2019 update)
We'll talk in more depth about how to use Keras with different kinds of classification problems, how to integrate Keras with scikit-learn and k-fold Cross-Validation, and do an exercise where you predict the political parties of congressmen based only on their votes on 16 different issues.

Using Artificial Intelligence to predict election outcomes
Erin Kelly, CEO of Advanced Symbolics, explains how the company's AI platform (known as "Polly") can predict trends in market research and even election outcomes based on sample riding information from online information.

How will government and politics be transformed by technology?
The Institute for Government was delighted to welcome Jamie Susskind to discuss his new book Future Politics: Living together in a World Transformed by Tech. In his book, he argues that those who control digital technology – mainly technology firms and the state – will increasingly use data to control our lives. He suggests that the government must take advantage of the digital age to strengthen democracy. In conversation with Gavin Freeguard, Programme Director and Head of Data and Transparency, at the Institute for Government, they discussed what these issues mean for policymakers.

Could deepfakes weaken democracy? | The Economist
Videos can be faked to make people say things they never actually said. This poses dangers for democracy. Can you spot ALL the deep fake interviews in this film?

The Rise of the Weaponized AI Propaganda Machine by Berit Anderson
Silicon Valley spent the last 10 years building digital addiction machines. And during the 2016 U.S. Election, Russia, Trump and their allies hijacked them. All across Europe, elections have been targeted by Russian propagandists determined to aggravate underlying cultural divides. Alt-right data & AI strategists at Cambridge Analytica are targeting democracies in India, Australia, Kenya, and South America. As platforms struggle to determine their role in the new emerging world order, our biggest strategic advantage as technologists has become fluency in three areas: The motivations and behavior of the international actors at play, a systems understanding of the political and economic drivers of technology, and a deep focus on how to protect the tools that we build every day. Berit Anderson is the CEO and Editor-in-Chief of Scout.ai, which creates media to help you anticipate the impacts of technology. She frequently speaks about her work on Weaponized AI Propaganda and its impact on international democracy. In 2017 she won a debate with the former prime minister of Sweden about whether the internet is a force for democracy.

How AI Inference Threats Might Influence the Outcome of 2020 Election
Karel Baloun, Software Architect and Entrepreneur, UC Berkeley Ken Chang, Cybersecurity Researcher, UC Berkeley Matthew Holmes, Cybersecurity Student, UC Berkeley

What we have learned from the US 2016 election interfered by Russian. This session will inspect the inference threats on how elections in the international community interfered by inference threats. The session will also analyze the patterns of disinformation and misinformation used in the past elections and how artificial intelligence might be applied to influence the outcome of the 2020 election.Pre-Requisites: Understanding of Data Privacy Engineering concepts and general information technology background interested in inference threats.

Controlling the Narrative with Artificial Intelligence
Speaker: Dustin Heart Abstract: Social media has played a tremendous impact in this current election season, and campaigns are scrambling to adapt. Behind the scenes, many companies have emerged with methods to engage potential voters, and in many ways have been too obvious in their attempts to be seen. This talk highlights many of the strategies that these campaigners are using, counter-methods to detect this (to help remove said content from social media), and the realities and ethics of these applications.

Stanford HAI 2019 Fall Conference - AI, Democracy and Elections
Renee DiResta, Research Manager, Stanford Internet Observatory Andy Grotto, Research Scholar, Cyber Policy Center; Director, Program on Geopolitics, Technology and Governance, Stanford University Nathaniel Persily, James B. McClatchy Professor of Law, Stanford Law School, Stanford University Moderator: Michael McFaul, Ken Olivier and Angela Nomellini Professor of International Studies in Political Science, Director and Senior Fellow at the Freeman Spogli Institute for International Studies, and the Peter and Helen Bing Senior Fellow at the Hoover Institution, Stanford University

Big Data and Its Impact on Democracy
Martin Hilbert discussed the impact of big data, computational analysis and machine learning on the democratic process. In this conversation, Hilbert addressed both challenges and opportunities presented by emerging big data technologies. Speaker Biography: Martin Hilbert is an associate professor of communication at the University of California, Davis. Prior to his current position, Hilbert created and coordinated the Information Society program of the United Nations Regional Commission for Latin America and the Caribbean. In his 15 years as a United Nations economic affairs officer, he delivered hands-on technical assistance in the field of digital development to presidents, government experts, legislators, diplomats, non-governmental organizations and companies in more than 20 countries.

Don’t blame bots, fake news is spread by humans | Sinan Aral | TEDxCERN
Fake news does not only disrupt society but also economy and the deep roots of democracy. Sometimes, their impact can even be measured in terms of people killed by the misinformation that it’s spread around. Sinan Aral, a scientist, entrepreneur and investor with a PhD in IT economics, applied econometrics and statistics, has run some of the largest randomised experiments in digital social networks like Facebook and Twitter to measure the impact of persuasive messages and peer influence on our economy, our society and our public health. Having conducted the most extensive longitudinal study of false news spread on Twitter, which was published on the cover of Science this March, Aral has proven that false news diffuses farther, faster, deeper, and more broadly than the truth online. But why? The answer will leave you astonished as the main cause for such an effective spread of false news is not bots, it’s…us. So, how can we be sure that something is real? As well as teaching at MIT as a Professor of IT & Marketing, Professor in the Institute for Data, Systems and Society, Aral is currently a founding partner at Manifest Capital and on the Advisory Boards of the Alan Turing Institute, the British National Institute for Data Science, in London and C6 Bank, the first all-digital bank of Brazil, in Sao Paulo. TEDx

Discussion: Do deepfakes pose a threat to democracy?
This is a recording of a breakaway discussion from the "Riga StratCom Dialogue 2019" that took place in Riga, 11 June. Speakers: Mr James McLeod-Hatch (Research Director, M&C Saatchi World Services, Great Britain), Dr Gabriele Rizzo (Lead Scientist, Strategic Innovation & Principal Futurist, Leonardo, Italy) and Prof Dr Bjorn Ommer (Professor, Heidelberg University, Germany). The discussion is moderated by Ms Margo Gontar - Journalist and independent media expert on disinformation, Ukraine. Machine learning technologies can be used to distort reality and twist facts like never before. Artificial Intelligence enables video and audio productions to offer a completely fabricated ‘reality’. What is more, it has never been so easy or cheap to produce and share such content. The question is, to what extent these so-called “deep fakes” will influence our societies and political processes. Can “deep fakes” tip the scale in tight elections and open the doors of high public office to someone who really doesn’t meet the requirements of the job? Do we see party organisations employing robots to make phone calls in the hopes of getting more votes? Fundamentally, is democracy threatened by “deep fakes”?

Megan Smith — The (Inclusive) Future of Work, AI, and Democracy
How can we make sure the technology we build includes everyone who makes makes up the United States? Megan Smith, 3rd US CTO under President Obama and now the CEO of Shift7, discusses what equitable AI looks like at the 5th Annual Lesbians Who Tech + Allies NY Summit.