Skip to main content

Posts

Showing posts from September, 2022

AI Law on Employment Practices

Bias in AI has been an issue that has raised a lot of concerns. There have been instances where human bias has been carried over to AI algorithms and has impacted the decision-making process.  One area where it had an impact was in reviewing resumes and vetting out candidates. In November 2021, New York City council passed a law on automated employment decision tools , which goes into effect from January 1 st , 2023. The law prohibits the use of an automated employment decision tool to screen a candidate or employee for an employment decision unless: The tool has been the subject of a Bias Audit; The Bias Audit has been completed no more than one year before the use of the tool; A summary of the results of the most recent bias audit is made publicly available on the employer’s website before using the tool. You can read more details about how this law applies here - https://www.jdsupra.com/legalnews/nyc-artificial-intelligence-law-on-5739723/

AI Predicting Labor Outcomes

AI research is focused on many areas. There is a lot of research going on in medical science. Many updates are coming out every week, and what caught my attention last week is from Mayo Clinic research.  There is work in progress to predict in real-time whether someone in labor will experience a successful vaginal delivery with positive health outcomes for both the mother and baby. There are labor charts that monitor the progress of labor, but they can miss many factors. This AI model is supposed to use a lot more data points. The algorithms were trained to take into account more than 700 variables related to labor and delivery. More details and the news release is here - Mayo Clinic study shows successful labor outcomes in expectant mothers using AI - Mayo Clinic News Network

AI predicting cardiac arrests ten years in advance

Many advancements are happening in the field of medical science using AI. I have shared some of them in earlier posts. One development that caught my attention recently is about researchers at Johns Hopkins University developing an AI approach they say can help predict if and when a person could die of cardiac arrest based on imaging scans of the heart.  AI can analyze the scar tissue patterns that develop in the cardiac muscles over time due to heart disease. The AI could predict a person's risk up to ten years in advance. The research paper is published in Nature Cardiovascular Research. If you are interested in more details, you can find them AI Cardiac arrests .  Another related development from Mayo Clinic last year was AI spotting early-stage heart disease in routine EKG data. 

Answering questions at your funeral

When a person dies, they leave behind memories for others. Some of them are good, and some may not be that great. We still read and learn about many people who lived centuries ago through history or writing. There is a natural acceptance that the person who died will not come back, and people move on after a period of grieving. One to three generations may know and talk about previous generations. Now let us get to something new, which is related to AI. Using AI, there is a new way to have the dead person talk and answer questions. It is not some sorcery or speaking to spirits. The video is recorded in advance and used during memorial or funeral service. With the help of AI, the dead person will address the questions which people ask and will talk to people. An AI tool called StoryFile enabled funeral attendees to interact in a real conversation. The technology creates the illusion of a real-time conversation. StoryFile made its services available in the UK recently, while the service...