Scaling up deliberative and voting participation is a longstanding endeavor -- a cornerstone for direct democracy and legitimate collective choice. Recent breakthroughs in generative artificial intelligence (AI) and large language models (LLMs) provide unprecedented opportunities, but also alerting risks for digital democracy. AI personal assistants can overcome cognitive bandwidth limitations of humans, providing decision support capabilities or even direct AI representation of human voters at large scale. However, the quality of this representation and what underlying biases manifest when delegating collective decision making to LLMs is an alarming and timely challenge to tackle. By rigorously emulating with high realism more than >50K LLM voting personas in 81 real-world voting elections, we show that different LLMs (GPT 3, GPT 3.5, and Llama2) come with biases and significant inconsistencies in complex preferential ballot formats, compared to simpler and more consistent majoritarian elections. Strikingly, fair voting aggregation methods, such as equal shares, prove to be a win-win: fairer voting outcomes for humans with fairer AI representation. This novel underlying relationship proves paramount for democratic resilience in progressives scenarios with low voters turnout and voter fatigue supported by AI representatives: abstained voters are mitigated by recovering highly representative voting outcomes that are fairer. These insights provide remarkable foundations for science, policymakers and citizens in explaining and mitigating AI risks in democratic innovations.

Former Wisconsin Gov. Scott Walker, R., joined Americas Newsroom to discuss what is at stake with the swing states pivotal election. A Wisconsin woman is using online dating applications to reach young people nationwide and help raise voter turnout during elections, according to a local report. Kristi Johnston is part of Next Gen. America, an organization that works toward increasing voter turnout among young Americans, WKOW-TV reported. Johnston and the group do not push for any specific political party or candidate and instead raise awareness and remind people to get out and vote.

The Election Commission of India (EC) is an independent and permanent constitutional authority in India in charge of organising free and fair elections. Organising elections in a country with a population of over 1.4 billion people is a tremendous undertaking, especially when they occur on a regular basis. While there is no doubt that EC is innovating its day-to-day operations, be it implementing technology like JARVIS to combat vote manipulation or a smartphone-based e-voting system, there, however, are numerous areas where it can improve, such as checking hate speech and foreign trolls. One of the main problems for the Election Commission today is to prevent vote counting manipulation. Many parties have repeatedly alleged irregularities in the election process, the primary reason being the way EVMs are used.

After the surprising results of the 2016 presidential election, I wanted to better understand the socio-economic and cultural factors that played a role in voting behavior. With the election results in the books, I thought it would be fun to reverse-engineer a predictive model of voting behavior based on some of the widely available county-level data sets. For example, if you want to answer the question "how could the election have been different if the percentage of people with at least a bachelor's degree had been 2% higher nationwide?" you can simply toggle that parameter up to 1.02 and click "Submit" to find out. The predictions are driven by a random forest classification model that has been tuned and trained on 71 distinct county-level attributes. Using real data, the model has a predictive accuracy of 94.6% and an ROC AUC score of 96%.

Google is pulling another lever on its influential search engine in an effort to boost voter turnout in November's U.S. presidential election. Beginning Tuesday, Google will provide a summary box detailing state voting laws at the top of the search results whenever a user appears to be looking for that information. The breakdown will focus on the rules particular to the state where the search request originates unless a user asks for another location. Google is introducing the how-to-vote instructions a month after it unveiled a similar feature that explains how to register to vote in states across the U.S. The search giant said its campaign is driven by rabid public interest in the presidential race between Hillary Clinton and Donald Trump. As of last week, it said, the volume of search requests tied to the election, the candidates and key campaign issues had more than quadrupled compared to a similar point in the 2012 presidential race.

Google is pulling another lever on its influential search engine in an effort to boost voter turnout in November's U.S. presidential election. Beginning Tuesday, Google will provide a summary box detailing state voting laws at the top of the search results whenever a user appears to be looking for that information. The breakdown will focus on the rules particular to the state where the search request originates unless a user asks for another location. Google is introducing the how-to-vote instructions a month after it unveiled a similar feature that explains how to register to vote in states across the U.S. The search giant said its campaign is driven by rabid public interest in the presidential race between Hillary Clinton and Donald Trump. As of last week, it said, the volume of search requests tied to the election, the candidates and key campaign issues had more than quadrupled compared to a similar point in the 2012 presidential race.