AI's Promise and Perils: Detecting Fake News, Discovering Antibiotics, Caution in Courts, and an Overlooked Stock Primed for Breakout
Examining AI's Ability to Spot Misinformation, Revolutionize Drug Discovery, Transform the Legal System, and Power a Rebound of an Artificial Intelligence Stock
Detecting Fake News
- UW-Stout professor researches AI's ability to detect fake news
- Tested AI models like ChatGPT and Bing AI for accuracy in fact-checking news
- Top models correctly identified fake news 65.25% of time, showing promise
- AI makes decisions by checking facts and source credibility
- AI not perfect yet due to limitations like nuance, but has potential to help counter misinformation
New Antibiotics Discovered Using AI
- Deep learning AI screened millions of compounds, identifying antibiotics
- Model revealed biochemical reasoning, demonstrating "explainable AI"
- Compounds cured resistant infections in mice, proving effectiveness
- AI enables rapid, systematic screening that dramatically accelerates discovery
- Though early, explainable AI holds promise for fast-tracking new antibiotics
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Caution Applying AI in Courts
- Chief Justice Roberts advises legal system to carefully evaluate using AI
- AI risks privacy issues and dehumanizing the law despite benefits
- AI will transform legal work but won't replace judges
- Report comes as Supreme Court faces politically-charged cases
- Roberts aims to appear nonpartisan, but confidence in Court is eroding
SoundHound AI Stock
- Overlooked voice AI developer SoundHound stock down 85% via SPAC
- Catalysts like lower rates and AI spending could fuel rebound
- Cash burn makes it acquisition target for big tech companies
- Core markets would flourish in high purchasing power environment
- Speculative, but partnerships/investment could spark breakout
AI's Potential in Detecting Fake News
A University of Wisconsin-Stout professor recently published promising research on artificial intelligence's capabilities in detecting fake news. Kevin Matthe Caramancion tested leading AI models such as ChatGPT and Bing AI to evaluate their accuracy in fact-checking news stories. He found that while AI is not yet as discerning as humans, the top models were able to correctly identify fake news with 65.25% accuracy. Caramancion states AI makes decisions by cross-referencing information against reliable data sources and evaluating source credibility. He acknowledges AI's limitations in understanding nuance but believes with ethical development, AI can significantly benefit society by promoting access to reliable information. Though not perfect, Caramancion's research shows AI's promising potential to assist the public and media in identifying misinformation. He plans to continue refining AI's fact-checking abilities for more practical real-world application.
AI Discovers Promising New Antibiotics
Antibiotic resistance poses a major global health threat, causing over 1 million deaths in 2019. No new antibiotic classes have been developed in decades, but AI offers new hope. Recently, a Broad Institute team led by James Collins utilized deep learning to screen millions of compounds and identify 283 antibiotic candidates. Remarkably, their explainable AI model revealed the biochemical reasoning behind its selections. Several compounds proved effective against multidrug-resistant infections in mice. This builds on previous pioneering research applying AI to antibiotic discovery by César de la Fuente of the University of Pennsylvania and others. De la Fuente explains machine learning can systematically and rapidly screen molecular datasets, accelerating discovery from a typical 12 years to mere hours. Though still early, explainable deep learning holds tremendous potential to fast-track the development of novel antibiotics. As Collins' study demonstrates, AI can screen possibilities on a superhuman scale, uncovering fresh leads to counter antibiotic resistance.
Chief Justice Urges Caution Applying AI in Courts
In his year-end report, Chief Justice John Roberts advised the legal system to carefully evaluate the use of artificial intelligence. Though AI could expand access to legal information, Roberts warned it risks privacy violations and dehumanizing the law. Emphasizing prudence and humility, he stated AI must be applied judiciously in judicial decisions. Roberts predicted AI will continue transforming legal work but assured judges will not become obsolete. While summarizing federal caseloads in 2023, he noticeably avoided mentioning the Supreme Court's upcoming politically-charged disputes, including legal battles surrounding former President Trump's potential 2024 candidacy. Despite aiming to detach the Court from partisan conflict, Roberts may struggle to position it as a nonpartisan body, as just 48% of Americans currently express confidence in the Supreme Court. Ultimately, Roberts urges the legal system to embrace AI's potential benefits but exercise extreme care and patience implementing new technologies.
Overlooked AI Stock SoundHound Positioned for Breakout Year
Lesser-known artificial intelligence company SoundHound AI could experience a watershed year in 2024. The voice recognition software developer, which went public via a SPAC in 2022, currently trades at a depressed $2 per share after plummeting 85%. However, several catalysts could fuel a rebound. If the Federal Reserve cuts interest rates, economic activity may accelerate, benefiting AI spending. SoundHound's cash burn also makes it an acquisition target; big tech giants like Apple and Microsoft have shown interest in voice AI. Its verticals in automotive and restaurants are recession-resistant and would flourish in a higher purchasing power environment with lower rates. Though speculative, if SoundHound can drive partnerships, investments, or a buyout, its stock could "go parabolic" given secular AI tailwinds. After a rocky debut, overlooked SoundHound is positioned for a potential breakout should macroeconomic trends turn favorable.
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