Researchlabnet

Anything new is exciting through perils of unpredictable waves

AI is hot and controversial

The excitement on how AI will change, improve things over waves of fears, if it can take the world over and lame human.

Remember those days when digital era was new and coming? And analogues TVs and other devices are mandatorily tossed to replace with the digitals’ 10100100 algorithms? Analogues businesses shut down and workers lost jobs but those who chose to learn the faster and more efficient digital, stayed and worked. Then came the social media era which made the world smaller when global folks call or live chat via internet, avoiding pricey international phone rates in those days. Social media was thought out as the exciting new, nothing ominous until waves of combative hate- fueling chats prompt suicidal ideations on some users, and subscribers’ accounts being hacked, replicated by cybercrooks to disinform, defame folks of interests.

AI is actually around years ago on some applications and being hyped or celebrated now as the next tech era to work on a lot of whole things. Like new vaccines or new drug, it has same waves of concerns or side effects. How AI works, interplay in different applications will be known through its usage history and observational study timeline. To say that it is entirely safe is premature, irresponsible.

While entertainment industries are using AI tech to make copycats of celebrities doing fun videos and photos, graphic arts folks have disclosed recently there were no known established ways on how to revert what was graphically created with AI. The other concern is AI-generated copycats help fraudsters deceive their victims. Reports have been up on crooks who used AI-generated media or videos to steal, defame, extort, or demand ransom. Crooks can win their ransom money easily by presenting fake, AI- generated videos of loved ones- copycats either suffering in their custody, or in fake Law enforcers’ custody. This is very concerning if there aren’t any ways to prevent, determine copycats from real. We need AI well- verse legislators, investigators to create regulations, prevent AI-generated crimes.

. Arizona Republic blew the horn early about scammers’ voice copying schemes for public awareness

What some say: AI will take over, surpass human intelligence.

AI or artificial intelligence has been construed as surpassing human intelligence because it can tackle, store tons of data than a human brain can, and release them faster than a human can. AI’s superseding prowess in capacity storing and lightning- fast release of data are results of algorithmic automation. Human intelligence on the other hand, has the capacity to process new information, check sources accuracy, decides through experiences and review verified stored data which AI cannot. AI will therefore be good assistant in various fields, will not surpass his creator -human endowed with reasoning- we call true intelligence.

What workers fear: AI or similar technology take over their jobs.

Rule of the thumb is any job involves with unfamiliar problem solving or decision making won’t be replaced by AI. Jobs involved with constantly changing hi techs and real-time human beings are AI’s limitations as well. Legislators, lawyers, healthcare providers, plumbers, counselors, biotechnologists, homebuilders and more who have developed skills, unpublished extended experiences and calculating minds won’t be replaced by AI’s automation. AI tech may work with processing tons of data and come up quickly with stored extended information, but have errors risks which may overweigh gains.

Additionally, creativity, discipline, compassion and quick thinking cannot be automated, so AI won’t take over artists’ or clinicians’ roles, nor deter firefighters and emergency crews. AI can be very good assists in many ways, can even serve as sacrificial lambs during risky operations but maybe costly.

Jobs that can be automated without need of thought processing are AI’s domains, which include facilitating administrative tasks, coding applications like dispatching alert codes on surveillances, furthering data analysis in many fields and industries, offices, entertainment and more. Mental health researchers in Japan have utilized their ingenious AI caregivers- robotics, caring the seniors.

Though WHO (World Health Org) declared AI ‘s use in healthcare carries multiple risks, AI roles on various fields are exciting in medical data upkeep, imaging, labs work and more. Replacing clinicians’ precise diagnoses and appropriate, personalized management are not (yet) one of them.

Prognosis and risk assessment are the domains of the clinicians, not the algorithms of AIs. Humans have real -time body and mind setup, can be unique individually, and can invariably be varied in various occasions. Variability in individual’s health record or data is not automatable, has no room for AI (yet).

AI’s compiled data taken from various sources are impressive in holding up tons of data. The amassed data are not fool proof though, and there are no checking of sources accuracy, hence chatbots like OpenAI’s ChatGPT cannot distinguish true from false according to Michio Kaku, a notable theoretical physicist.

The vision lies on the fact that tons of quick resources are amazingly helpful, but which data are true is in question. With quicker gathering of stored information, AI will be helpful in assisting doctors facilitating diagnosis on clinical, laboratory or imaging levels. AI’s compiling property also enable closer health monitoring, reduce risks of medical and surgical errors.

RLabNets ‘ subjects of interest are on:

COVID and Other Airborne diseases Prevention

BACK Surgeries – Minimally Invasive Approach versus Conventional Surgery

Medical and Surgical Errors – How to Avert Errors with Algorithmic measures

Metabolism / Weight Management (Bariatric surgery) – Who Needs What Approach

Diabetes – A Way to Ditch Medicines and Bid Insulin Goodbye

Hypertension, Hypercholesterolemia and Heart disease – What is New & Still Unsettling

Sports Medicine – New trends on Knee, Hip, and Shoulder replacements

Pain Management – Personalized approaches using non-addictive drugs

Rheumatology / Immunology / Allergy / Stem Cells therapy – Autoimmune Updates

Fertility and Sterility – Natural Pregnancy after Failed IVFs and Immunological Updates

EYE Sight preservation and care (Glaucoma, Macular Degeneration, Retinopathy)

Oncology – Updates on Lung, Liver, Pancreas, Breast, Prostate and more

Brain and Neuropathies – Do Stem Cells help?

Mental Health and Disorders – Special Minds, Special Needs & Tools

Geriatrics / Alzheimer’s disease – Memory Enhancer & Helper.

Wellness, Aging, and Longevity – Main Keys to Longevity

*More subspecialties are upcoming. Check out Bulletin Page constantly for new information.

RLabNet team’s undertakings are on:

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