Thierry Laguerre - Post 2
Post # 2
The AI presentations were quite interesting, to say the least. I got rid of a lot of preconceptions that were just ridiculous. I think everyone’s first impression of AI deep learning was that of a sci-fi movie and takeover. I really felt captivated by the topics that students spoke on. I guess it is because it was a topic of their interest and research.
Group 3 | Mental Health & Careers
First, Group 3 presented their research and opinions on AI related to mental health and careers. Some involved interviewing professionals in the space while others relied on hard evidence.
I was the first to present for my group after the host gave their introductions. I was quite pleased with how my slides turned out. I gave my presentation on government oversight and laws as it relates to AI. Luckily I was able to score an interview with an ENTEC advisor. In summary, she claimed that data engineers and scientists would benefit from AI in the workplace. As it pertains to safety, precautions need to be taken with the data of the public and the threat AI poses to children. While doing my research I ran across a lot of articles that came to a consensus that few solidified laws were directed towards AI. Instead, discretion is being used as it pertains to AI, because human decency, precedence, and human rights are the only staple holding people accountable. The government decided to take a responsive approach instead of a preventative one because otherwise, it may stunt the progression of AI development in the United States.
Next, Sabrina Anelus gave her presentation on government aid in AI research. At the forefront of AI development, workforce training is something the government is currently investing in. The national AI initiative also seeks to fund AI research as it pertains to national security and defense as well. Something talked about often is facial recognition technology and more.
Yaismel gave his presentation relating to AI in Florida. Many colleges and four year universities are beginning to see the value of courses on AI. These are more forward thinking career options based on the forecast of AI prevalence in the workforce. Miami Dade College even offers college credit certificates to prepare individuals to become more competent in the use of Artificial Intelligence.
Victoria Perez gave her presentation which surrounded the opinions of ambitious professionals. Jose Perez, an IT manager, uses AI for customer interaction, security, and code debugging (finding errors). Anthony Herrera, basketball league commissioner, uses AI to track player’s stats and generate ideas for merchandise such as jerseys.
Arianna gave us a crash course in Artificial Intelligence history. Surprisingly, the first AI chatbot was introduced in the 1960's. Around the 1990s due to AI features, computers and software started to pick up on speech and video processing. During the 2000s AI became more widely available for personal use such as self-driving vehicles, facial recognition cameras, and more.
Javier Yanes talked about something we all are affected by, the economy. Mr. Yanes suggests that Artificial Intelligence will boost Growth Domestic Product output. Consequently, our lives will be easier theoretically (more leisurely). The butterfly effect is that businesses will want to automate as much which may mean steeper depressions during labor declines.
Djenah summarized people’s reactions to AI. The front running issue is job displacement. Many people are advocating for workers' rights. The conversation continues to grow regarding business ethics. It is more important than ever to become literate in artificial intelligence.
Abigail Lefont gave her overview of mental health and Artificial Intelligence. The merge of mental health and AI technology can be done through software that can mimic positive human responses. The World Health Organization recorded more than ten percent increase in mental health cases.
Sabrina Hernnadez spoke about the challenges people would have to face as AI grows. The top concern was job insecurity. Following job insecurity, social isolation and privacy concerns were at the top of the list.
Yanesis covered the government’s approach to aid with mental health as it relates to Artificial Intelligence. The government has funded many endeavors such as schools, workforce, and more with mental health services. A notable contribution is the government’s support for ARP, the American Rescue Plan.
Giovanni Rios gave us a list of great ideas in regards to really improving the quality of mental health services. It incorporates early detection of declining mental health. Predictive models being able to catch at risk individuals and connect them with appropriate assistance is crucial. In addition, AI assisted therapy and data analytics may be a near future possibility.
Juanita presented on mental health in Florida and AI. She stunned the class with the fact that over 2.5 million adults in Florida have a mental health condition. It is approximately six times the population of Florida. She also includes a suggestion that an AI tool can draw from screening conversations to analyze the visual, audio, and language features of the individual.
Ashley gave some innovative solutions about how MDC could navigate AI tools to assist students and faculty. Ashley’s observation of the potential of medical practice was inspiring. AI could possibly analyze/digitize electronic records, medical images, and handwritten notes.
Group 2 | AI in sports & economy
Franchesco presented the possibilities of AI to enhance sports data tracking and decisions. Ai is very accurate in terms of performance analysis and data driven insights. It may potentially become the norm in assisting referees to make fair and impartial decisions. On the other hand, cons include cybersecurity threats and privacy concerns of the audience and athletes.
Gabriela spoke about the government's role and interest in sports. In the past governments have been known to provide economic funding through grants and partnerships. She also specifically mentioned SportVU, an analytical AI to track players' individual and team stats.
Alyah went into more detail as it pertains to local, state, and federal government jurisdiction in AI. One of the ideas that captured my attention was fan engagement through Virtual Reality. If allowed, companies could begin to offer users and fans these experiences without violating laws on data collection and more.
Keilin Ovalle provided direct insights into AI in the sports industry. The market itself is big enough to support permanent inclusion with AI since it is worth over 19 billion dollars. One area that teams and facilities have invested in is personalized training for athletes based on AI data. It is also reasonable to consider the high cost of these technologies, which may not be affordable for every league.
Tosha went on to cover the programs that MDC offers. These include but are not limited to bachelor programs, associate of science degrees, certificate programs, and ENTEC’s very own AI on the north campus that students may converse with.
Yaelis spoke of the current impact on the economy. Starting with the good news, decisions can be made more quickly because of AI's ability to gather information. Another effect is productivity and efficiency have increased. On the bad side, ethical concerns are at the forefront. Job displacement and extinction of certain skills are also a huge concern.
Milay was able to talk about current events and trends occurring in our workplaces. The growing popularity is AI adoption into company workflow. Businesses are always looking to reduce costs and improve efficiency. Automating processes with AI makes a lot of sense to business owners, but it comes at the cost of workers’ trust.
Elijah presented his solutions as it concerns AI and government involvement. He focused on the environmental impact that AI algorithms could possibly have. This may include learning how to allocate resource management and supporting other preservation causes.
Angelica made a list of the top sectors that AI would be able to have the greatest influence on. The top sectors were healthcare, banking, tourism, education, and transportation. Ai would be able to catch fraudulent activity, forecast routes, and predict analysis.
Delma was able to highlight MDC’s support of exposing students to AI technologies. For example, a new AI center was added to the Wolfson campus in addition to the one constructed in the north campus. Not to mention MDC has been a pioneer in the artificial intelligence bachelor degree of applied AI.
Fernando’s presentation was very futuristic and forward thinking. He mentioned the possibility for research and entire laboratories to be dedicated to having interns and students tackle real world implications.
Group 1 | Education & Social Life
Veronica was vocal about suggestions regarding education reformation. Her primary selling point is that education is very expensive and the government could provide aid to fund or economic incentives such as student loan forgiveness.
Isabella Flores provided a positive outlook on AI and mentioned notable opportunities. I was fascinated to learn that online institutions and Tech companies are offering training and courses on Artificial Intelligence. I also really loved the idea of including AI in education for personalized learning because AI may generate images to illustrate concepts.
Yarelis expanded upon some of the previous ideas mentioned. For example, I loved the idea of having virtual and augmented reality in education. I would have really appreciated it in my physics and science courses.
Melody’s presentation is a compliment to the hard work that government officials have been doing. They have maintained their mission to promote education through many mandated programs and supplemental services. Some examples include the Head Start program, the No Child Left Behind Act, and school lunch programs.
Aziz presented the AI Bill of Rights. In summary, it is legislation to push regulation of the use of AI. It outlines practices for both businesses and software developers to follow. It includes avoiding discrimination & bias in hiring, healthcare, and more.
Lianet covers the role that AI has and potentially may play in the film industry. Currently, it is being viewed as a threat because of generative AI. It essentially means less acting roles available and the possibility for AI to mimic the performances of actors.
Hemer mentioned the glowing recommendation for more AI involvement in Sports. It is now being utilized in Major League Baseball, National Football League, and more. It helps referees find better angles and assists with decisions. It is also tracking precise player stats in record time.
Helder gave an inquisitive insight into AI in art. For research purposes, he conducted his own experiment by using generative AI to create an art piece. He also provided valuable insights into what the future may look like for artists. Artists may lose the human aspect of artistic pieces because AI is mainly being used to generate ideas.
Overall, I was impressed with the capabilities of artificial intelligence. I am a computer science major but in the near future, I might plan to venture into AI deep learning and probe some of the algorithms.
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