ChatGPT, like other generative AI technology, relies on what it’s “fed” when “spitting out” responses or data. For example, if ChatGPT briefs a case for a law student, this is because someone inputs all the relevant information into ChatGPT at an earlier time. If someone asks ChatGPT to brief that same case and another case in one response; the software would take the one case’s information from the place it was provided, and combines it with the information found in the other place where the second case was found. All in all, ChatGPT is limited in response to what it has been “told” at an earlier time. Think something like a Parrot. Parrots are well known as a species of bird that can repeat the sounds and words that someone says in their vicinity.
The Internal Revenue Service (I.R.S.) issued a press release on September 8, 2023, detailing how the agency plans to use at least part of the $80 million dollar allocation it received from the Inflation Reduction Act last year. I.R.S. Commissioner Danny Werfel plans to use the funds to make compliance enforcement efforts and tax evasion identification more effective and efficient. How does he plan to do this? The overwhelmed and perhaps overworked agency will be using artificial intelligence (AI) programs and features to expedite and assist with redundant processes as well as to audit parties that are too complicated or large for the I.R.S.’s current capabilities.
On September 05, 2023, a bipartisan coalition of all fifty state attorneys general along with four attorneys general from U.S. territories came together to sign a letter to Congress. The letter urged Congress to establish an expert commission to specifically study how artificial intelligence (AI) contributes to the exploitation of children. The attorneys general further stressed the urgency of expanding existing laws on Child Sexual Abuse Material (CSAM) restrictions to include AI-generated content.
As artificial intelligence becomes more available, apprehension regarding its potential impact on security and data protection grows, especially within the financial services sector. AI technology undoubtedly provides some benefits to the financial sector by offering services that would otherwise be unwieldy, inefficient, time-consuming, and costly when undertaken by humans. The financial services sector is no stranger to security risks and with the increased prevalence of AI, the threat landscape grows larger, especially when considering the financial sector’s increasing dependence on web applications and APIs.
Artificial intelligence (AI) is a simulation of human intelligence that is subsequently processed by machines. It has revolutionized the healthcare space by improving patient outcomes in a variety of ways. It has also begun to leave a positive impact in health systems and hospitals as healthcare worker burnout remains on the rise. However, there are significant legal challenges that accompany its groundbreaking nature. Hospitals and health systems have a duty to mitigate these legal challenges and understand that AI should be used as a supplement, not a replacement, to human intelligence.
In November of last year, Open AI launched ChatGPT, an AI chatbot that engages users with dialogue to answer questions, write responses to prompts, and interacts with the user. Google quickly responded to the technological advancement by creating their own version of a chatbot called Bard that Google claims will draw “on information from the web to provide fresh, high-quality response.” AI has quickly embedded itself into most everyday activities. Additionally, in light of recent mass layoffs, experts predict that AI could displace tens of millions of jobs in the United States in the coming years. And with new chatbots run by AI, AIs have gone from simply replacing people to assisting people with tasks. As with all emerging technology, the general public may worry about regulating something that can be so intrusive and yet powerful and helpful to society. With the unsurmountable amount of knowledge provided by AI in seconds, it is necessary that Congress catch up to the emerging technology and create regulations for AI that can respect intellectual property and copyright laws and eradicate how AI adds to racial and gender disparities in the United States.
Until recently, Artificial Intelligence (AI) was the domain of science fiction connoisseurs and Silicon Valley tech savants. Now, AI is ubiquitous in our daily lives, with a seemingly endless number of possible applications. As with any new and emerging technology, there are many novel questions and concerns that need to be addressed. Whether it be related to copyright ownership, ethics, cybersecurity obstacles, or discrimination and bias, concerns surrounding AI usage are mounting. AI system regulation has been rapidly increasing worldwide, while the U.S. regulatory landscape has remained relatively sparse. But it won’t be for long.
Today the healthcare industry is being transformed using the latest technology to meet the challenges it is facing in the 21st century. Technology helps healthcare organizations meet growing demands and deliver better patient care by operating more efficiently. As the world population continues to grow and age, artificial intelligence (AI) and machine learning will offer new and better ways to identify the disease and improve patient care.
Artificial intelligence is all around us. Whether it exists in your iPhone as “Siri” or in complex machines that are detecting diabetic retinopathy, it is constantly growing and becoming a regular part of the modern day. As with any new technology, regulation surrounding artificial intelligence is becoming increasingly problematic. The question facing us now is how do we encourage further development without accidentally hindering its growth? Recently, the Food and Drug Administration has attempted to take steps toward further regulation of artificial intelligence by introducing a review process for medical artificial intelligence. This is just one instance of how regulation may affect the evolution of artificial intelligence.
From Siri to Alexa, to deep learning algorithms, artificial intelligence (AI) has now become commonplace in most peoples’ lives. In a business context, AI has become an indispensable tool for businesses to utilize in accomplishing their goals. Due to the complexity of the algorithms required to make quick and complex decisions, a “black box problem” has emerged for those who utilize these increasingly more elaborate forms of AI. The “black box” simply refers to the level of opacity that shrouds the AI decision-making process. While no current regulation explicitly bans or restricts the use of AI in decision making processes, many tech experts argue that the black box of AI needs to be opened in order to deconstruct not only the technically intricate decision-making capabilities of AI, but the possible compliance-related problems this type of technology may cause.