The B Spot
Consistency is the mother of a whole lot of sh** (lol) but that’s THE thing we lack. (not sh**; consistency 🤪). I try to write, explain, and put out information in a fun way. Because look around us; any social platform you go to, there are tons of people just giving (sorry) throwing advice!😡
Go on TikTok, and you will find people giving enormous amounts of ideas on how to do stupid things in a smart way.
“The hack of all trades is the master of idk what” — Jasmin Bharadiya
Go on Instagram! Every bloody damn person is an “influencer” (influencing nothing🙄), and there is nothing left to influence anymore!! LITERALLY!😈
I am getting sick of it. I want to live in those days again when scrolling on social media was just a leisure activity, not a need! (guilty on all charges😜).
We are constantly trying to find something! What? No one knows. It has damaged our attention span (mine is literally 2 minutes!🫣).
Even in real life, if I am talking to you and you don’t get to the point in 2 minutes, I am zoned out of the conversation.
To stay smart in my life and keep the logic juice flowing in my brain, I READ. (It helps my brain, eyes, and thought process works in sync 🙌🏼).
So, on that note! Let’s read about how machine learning can help with attention spans.
Yes, you read that right!
Online learning culture has increased rapidly, and students with mental disabilities or just curious little minds can’t sit around for hours and listen to an online class (I wouldn’t want that! even for adults 🤷🏻♀️).
There was a study on “Developing a machine learning algorithm to Assess Attention Levels in ADHD Students in a Virtual Learning Setting using Audio and Video Processing.”
Attention Deficit Hyperactivity Disorder (ADHD).
ADHD is a disorder that deals with mental health, causing impulsive decisions and excessive hyperactivity. Students with ADHD may struggle to focus on a task or lesson, and they may have trouble sitting still for a long time. This especially negatively impacts them during school. In order to address symptoms of ADHD, the model described in this paper uses machine learning, a subset of artificial intelligence (AI).
Various state-of-the-art drowsiness detection techniques are out there which help create/detect such behavioral issues.
AI is a means to treat mental illness, yet it is one fraught with risk, something that would be unethical to release upon our most fragile population. We are not yet (and may never be) at the stage where we can swap out a mental health professional with a synthetic representation.
Therapy, counseling, and clinical treatment all require uniquely human elements which are empathy and insight. This is now the case more than ever, thanks to the industry’s shift away from the sterile and questionable practice of psychoanalysis toward a Rogerian, client-centered approach to psychology in recent years.
Another major issue to consider is the fact that AI models are not yet completely trustworthy or credible, despite their ability to provide responses with a high degree of confidence. This act, known as AI “hallucination”, aptly describes when a model generates a response to a query that has not been covered by its training data set.
yes, my friend “hallucination”!
More often, the response is factually incorrect, or at worse, harmful to the user. OpenAI admitted that GPT-4 is “still not fully reliable” and that “great care should be taken when using language model outputs, particularly in high stakes contexts”. And what could be more high stakes than the health and well-being of a person afflicted with a mental health issue?
It’s also easy to imagine an AI-powered ecosystem of apps and devices, working in harmony to monitor and maintain a user’s mental health through biometric feedback, sentiment analysis, and reassuring chat-like dialogue.
Though admittedly, one person’s euphoric utopia is another’s privacy nightmare — a balancing act between sedation, regulation, and potential misuse that no tech entity has figured out just yet.
As time passes, we will have more answers, probably from actual researchers and not GPT-like tools, about whether AI is really helping to improve mental health.
Follow for more stuff about AI and our journey with it! by Jasmin Bharadiya
