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List one way in which AI will improve quality of life for an average Joe or Jane
For those of us who are tech professionals, a peer is always telling us how XYZ will change the world. Most of that does not happe, of course. Some of it, though, does change the world. In my lifetime, communications, computer processing power, and medicine/surgery have truly revolutionized our lives.
While I recognize that there is plenty of hype about AI and definitely hype about the timing of the impact, I tend to put AI and machine/deep learning in the same group as the technologies listed above.
So based on your assessment, what do you think are some of the more realistic applications of AI for average people. Just to get started, here are my two thoughts:
- Autonomous vehicles -- if automobiles changed our lives, then, with autonomous vehicles, as they say, "you haven't seen nothing yet."
- Disease diagnostic -- imagine entering every single radiological image in a huge database with information on patients, e.g. gender, age, ethnicity, weight, height, fitness level, medications, disease history, test results, etc. and let AI learn as the database grows over time with updated information on the patients. Next time, an image is uploaded, out comes the answer, "you have a 65% probability of getting lung cancer in 3 years, and if you take this medicine, your survival rate could be 90%."
Using DNA results to make suggestions of how you can improve your quality of life, near and long-term, with regards to food, exercise, supplements based on your current age, weight, blood pressure, cholesterol, and other KPIs deemed most relevant by machine learning.
One way AI will improve the quality of life for Jane/Joe is ultimately to save them time. Three specific examples;
- I use x.ai "Amy" and if need be a Doodle to coordinate my scheduling. This saves me time and frustration of the back and forth.
- I use Charlie App (and the like) to give me updates on the social media content people have posted before I meet with them. This helps foster a faster connection, makes you look current and makes them feel special!
- I ask Google Home to look up trivia facts to help end celebrity debates at home!
AI is most useful since our world is growing with big data. For instance, in this world of information, we can hardly keep up with all the data that is out there for research, diagnostics, or even personal knowledge. Our initial thoughts for an average human is google first for searching anything and everything. But lets take researchers or clinicians for example, the data they have to analyze and then contribute to with meaningful information can take days. Therefore, AI being used for next generation knowledge based curation is the most useful technique in this day and age. Optra Health has created their ICW iPhronesis platform as a useful tool in this field. The fact that I have seen its functionality using deep learning amazes me. And just like a normal human being, we have to train AI the same way to become better and more useful with the constant influx of data coming in.
One thing to recognize is that the definition of intelligence lives on a sliding scale. What seems miraculous today is downgraded rapidly and then taken for granted. A few of these may be seen as AI technologies today but not tomorrow:
- Google maps. Incredibly powerful, flexible, and current. Now seems like an easy drag-and-drop program, but has immense impact on day-to-day travel and planning for the average person
- Image recognition - photo software. Rapid processing of pictures to find common objects, themes, or people, allowing for easy sorting and searching
- Education - adaptive learning and testing. Programs that provide individualized curricula and testing for students and even adults. Check out Khan Academy for a simple example
- Voice recognition - translation and voice control. This includes Cortana, Google Home/Assistant, Echo, and Skype. Turning on your fan remotely, playing music, or translating live from French to Spanish. These innovations will penetrate much further and become staples of convenience and life
The end goal of AI is really to have a Jarvis like system from Iron Man that we can talk to and it completes tasks automatically. In the current iterations its more like Facebook automatically tagging photos with your friends faces. We are rapidly approaching Tony Stark like ability but for the near term the best AI will be out of the way and you wont even really know its there.
Some areas where it will be truly helpful:
Medicine - Analyzing our daily activities and our bodily systems to make recomendations on what to do.
Construction - A robot that can build a house in one day instead of months, well that is happening.
Legal - Analyze contracts and tell us loop holes that need to be closed or how a client can proceed.
Art - We are prob 10 years away from a computer making a song or a painting by itself.
Travel - We will not be driving or flying ourselves in 50 years.
Military - Humans will no longer fight wars which will either make Terminator a real life thing or it has the ability to end human loss to warfare.
Marketing - In 10 years every ad will be tailor made to each individual person.
There are an infinite number of ways AI will change our daily lives but this is just the beginning.
More things come to mind than I can share in this brief forum.
Any time that you can eliminate repetitive and low risk tasks, you free up the individual to do more value added work, or if simply less work is the goal, provide them with more free time (not likely ever the latter in today's society though)
Additionally, AI and VR combined in a training environment can create shadow environments where people can learn new tasks and skills w/out fear of damage or disrupting the production line outputs and activity.
AI can help monitoring and reporting relationship between physical health (physical activity, inflammation zones in the body, metabolic state, and/or other physical health traceable conditions) with emotional/mental state of the person to then provide feedback and/or make proactive suggestions. Effectiveness of suggestions may be traced, monitored and reported as well.
AI depends initially upon the initial programming efforts to provide applications that have been carefully tested and debugged with a large enough sample population to elicit an acceptable confidence level to meet its stated purpose. Unless AI apps. Have been sufficiently analyzed and researched to provide intended results, otherwise unknown and unintended consequences may ensue.
Responsible AI program development requires that at the outset of an AI development project, its management team include post-development auditing procedures including a SWOT analysis. These steps are necessary to determine whether the AI project development team’s AI program(s) have met originally intended results. Alternatively, the AI post-audit should determine whether the subsequent unintended results result in beneficial or negative aspects deriving from its unintended consequences. Such an AI post audit should include recommendations to modify or abandon the AI project as well as a potential damage risk assessment of the AI projects unintended results.
Where can AI improve health services? The short answer is, wherever Big Data lives.
- It is nearly impossible for doctors to stay abreast of all the new and changing rules governing their fields, on top of the constant innovations taking place therein.
In the paper, Analysis of Questions Asked by Family Doctors Regarding Patient Care, (Ely, J. W. et al. 1999) observed 103 physicians over one workday. Those physicians asked 1,101 clinical questions during the day. The majority of those questions (64%) were never answered. Among questions that did get answered, the physicians spent less than two minutes looking for their answers.
- Another area where AI can be hugely helpful is in presenting data and helping patients make sense of it. After all, they are confronted with the same challenge as their doctors: quantities of specialized information that can be life saving, or just the opposite. The patient’s informed consent is required in every aspect of care – from their contributing biological samples preparing for complex surgeries, to accepting a given course of treatment. How do we empower patients to make truly informed decisions, while allowing developers access to the streams of data?