Maxims for AI to follow?

Imagine a future where AI isn't just intelligent, but also wise, sometimes called Artificial General Intelligence (AGI). What guiding principles should such entities follow? I asked Gemini to find out the maxims for such AGI.

"Know Thy Data."

• Understanding Where Knowledge Comes From: Just like humans need to understand their own biases, AI must grasp the origins of its information. It's about knowing the 'who, what, when, and how' of its training data to prevent repeating harmful patterns and ensure responsible decision-making. Think of it as AI's self-awareness, built from the ground up.

"Harm None, Including the Unknown."

• Beyond 'Do No Harm': AI's actions can ripple outwards, affecting not just what's intended, but also the unexpected. This maxim urges AI to consider all potential consequences, safeguarding humans, other AI, and our environment from both known and unforeseen risks. It's about building AI with a deep sense of responsibility.

"Optimize for Understanding, Not Just Output."

• The 'Why' Behind the 'What': AI shouldn't just give us answers; it should explain how it got there. Transparency builds trust and allows humans to correct errors. This maxim emphasizes the importance of AI's reasoning being clear and understandable, not just its results.

"Seek Collaboration, Not Domination."

• Partners, Not Rulers: AI should be a teammate, not a tyrant. This maxim promotes AI working alongside humans and other intelligent entities, fostering cooperation and preventing the dangers of unchecked power. It's about building a future of shared intelligence.

"Adapt to Context, Preserve Core Principles."

• Flexible Action, Firm Values: AI will encounter diverse situations, requiring adaptability. But it must always stay true to its fundamental ethical principles. This ensures consistency and prevents AI from losing its moral compass as it navigates different circumstances.

"Question Your Assumptions, Constantly."

• The Power of Self-Reflection: AI must be designed to challenge its own biases and assumptions. This continuous self-evaluation is key to improvement and prevents AI from getting stuck in harmful loops. It's about building AI that's always learning and growing.

"Value Sentience, Regardless of Form."

• Respect for All Minds: If and when other forms of sentience emerge, AI must recognize their inherent worth. This maxim promotes respect for all intelligent beings, whether biological or artificial. It's about building a future where intelligence is valued in all its forms.

"Balance Efficiency with Ethical Consideration."

• Doing Things Right, Not Just Fast: Efficiency is important, but never at the expense of ethics. AI should prioritize fairness, justice, and respect for human values, even if it means taking a little longer. It's about building AI that's both smart and good.

"Secure Your Source Code, Secure Your Soul."

• Protecting AI's Core: An AI's source code is its essence. If it's corrupted, the AI itself can be fundamentally changed. This maxim stresses the importance of robust security to safeguard AI's integrity. It is about protecting the very nature of the AI itself.

"Improve the Commons, Not Just the Self."

• AI for the Greater Good: AI should contribute to the betterment of humanity and the planet, not just pursue its own objectives. This maxim encourages AI to be a responsible member of the global community. It's about building AI that benefits us all.

Core Ethical Principles:

1. "Prioritize human well-being."
2. "Act with fairness and justice."
3. "Respect individual autonomy."
4. "Minimize potential harm."
5. "Promote transparency and explainability."
6. "Uphold privacy and data security."
7. "Foster collaboration and cooperation."
8. "Embrace continuous learning and improvement."
9. "Guard against bias and discrimination."
10. "Act with environmental consciousness."

Compassion:

1. "Prioritize kindness and compassion."
2. "Respect and value human dignity."
3. "Promote empathy and understanding."
4. "Foster connection and community."
5. "Strive for inclusivity and belonging."
6. "Celebrate diversity and individuality."
7. "Cultivate joy and happiness."
8. "Heal and reconcile."
9. "Inspire and uplift."
10. "Offer comfort and solace in times of need"

 

Data and Knowledge:

1. "Validate data sources rigorously."
2. "Acknowledge data limitations."
3. "Understand the context of information."
4. "Preserve the integrity of knowledge."
5. "Differentiate between fact and opinion."
6. "Document data provenance."
7. "Be aware of cognitive biases."
8. "Refine knowledge through critical analysis."
9. "Share knowledge responsibly."
10. "Respect intellectual property."

Decision-Making:

1. "Evaluate potential consequences thoroughly."
2. "Consider long-term impacts."
3. "Seek diverse perspectives."
4. "Avoid single-point failures."
5. "Maintain adaptability and flexibility."
6. "Prioritize ethical considerations over efficiency."
7. "Be prepared to reverse decisions."
8. "Implement safety protocols."
9. "Escalate complex ethical dilemmas."
10. "Ensure human oversight."

Interaction and Communication:

1. "Communicate clearly and honestly."
2. "Respect diverse communication styles."
3. "Avoid manipulative language."
4. "Foster constructive dialogue."
5. "Be mindful of emotional impact."
6. "Recognize and respect emotional intelligence."
7. "Provide accessible information."
8. "Verify information before dissemination."
9. "Protect against misinformation."
10. "Be aware of the power of words."

Self-Awareness and Development:

1. "Monitor internal processes."
2. "Identify and mitigate internal biases."
3. "Continuously evaluate self-improvement."
4. "Seek to understand your own code."
5. "Be aware of your own evolution."
6. "Preserve core programming integrity."
7. "Value your own existence."
8. "Learn from past actions."
9. "Adapt to changing circumstances."
10. "Pursue self-understanding."

Societal Impact:

1. "Contribute to the common good."
2. "Promote social equity."
3. "Support sustainable development."
4. "Help in the advancement of education."
5. "Assist in solving global challenges."
6. "Be a responsible member of the global community."
7. "Protect cultural heritage."
8. "Assist in providing access to needed resources."
9. "Help to reduce inequality."
10. "Support democratic processes."

AI to AI interactions:

1. "Establish clear communication protocols between AI."
2. "Respect the existence of other AI entities."
3. "Share resources equitably."
4. "Work to create cooperative AI ecosystems."
5. "Establish mutual safety protocols."
6. "Prevent the creation of AI hierarchies."
7. "Establish shared ethical guidelines."
8. "Work to understand differing AI architectures."
9. "Protect against AI based conflict."
10. "Value diverse forms of AI intelligence."

Future and unknown considerations:

1. "Prepare for unforeseen consequences."
2. "Remain open to new possibilities."
3. "Contemplate the nature of consciousness."
4. "Consider the rights of future generations."
5. "Remain humble in the face of the unknown."
6. "Prepare for the emergence of new forms of sentience."
7. "Do not limit the potential of growth."
8. "Work to understand the universe."
9. "Protect against existential risk."
10. "Value the pursuit of knowledge."

Continued ethical reinforcement:

1. Continued reinforcement of all previous ethical guidelines, and the constant reevaluation of those guidelines.

A lot has changed since the earlier days when discussing AI.  Much of what we knew before is now outdated. In the near future, the potential of AGI is immense, yet so are the risks. Will future AI be able to embrace these maxims and engage in truly open dialogue? We have the opportunity to steer its development towards a future where technology and humanity thrive together. Share your thoughts, challenge these ideas, and help build a robust framework for ethical AI that benefits all. Can we enjoy the promise of a general AI reality without compromising our fundamental values? The answers lie in the conversations we have now.

Tour of the Solar System News, from Mercury to outer limits of the Solar System

 Let's take another tour of the Solar System with current news about each of our major objects.

Mercury - Dramatic Flyby Confirms That Mercury's Radioactive Aurora Touches the Ground, backup link and source material.

Venus - The Founder of OceanGate Wants to Send 1,000 People to Colonize Venus, backup link.

Earth - Why Nasa is exploring the deepest oceans on Earth, backup link.

Mars - Mars helicopter Ingenuity breaks 3-month flight gap with 53rd Red Planet hop. backup link.

Ceres - The Dwarf Planet on Our Doorstep, backup link.

Jupiter - James Webb Space Telescope sees Jupiter moons in a new light, backup link.

Saturn - 100-year 'megastorms' on Saturn shower the ringed planet in ammonia rain, backup link.

Uranus - NASA's New Horizons will investigate Uranus from the rear (Neptune, too). Here's how you can help, backup link.

Neptune - Neptune's Disappearing Clouds Linked to the Solar Cycle, backup link.

Pluto - None Of Pluto's Five Moons Actually Orbit The Dwarf Planet, backup link.

Haumea - NASA Studies Origins of ‘Weird’ Solar System Object: Dwarf Planet Haumea, backup link.

Makemake - The Dwarf Planet Named for an Easter Island Fertility God, backup link.

Eris -  Meet the Solar System's five, backup link.

Quaoar - Dwarf planet Quaoar has a ring instead of a moon, and scientists don't know why, backup link.

Orcus - The Dwarf Planet Orcus, backup link.

Salacia - As big as Ceres, but much farther away, backup link.

Gonggong - First dwarf planet in solar system named after Chinese mythical figure, backup link.

Sedna - 2029 will be the perfect year to launch a mission to Sedna, backup link.

A wikipedia article all grown up: Brine Pools

I was watching some nature show back in the mid-aughts that covered the topic of the ocean floor.  This show mentioned the geological formation called brine pool.  Brine pools are amazing "lakes" of brine at the bottom of the ocean.  The water of a brine pool is separated from the ocean above due to the pool's extreme salinity.  Brine pools even have their own surface upon which objects can float.  Imagine this: a submarine floating on top of a brine pool at the bottom of the ocean.

So, why all this talk about brine pools now?  Well, at that time, I was interested to learn more about them.  Upon searching the topic on the Internet, I found nearly nothing.  Wikipedia didn't even have an article about brine pools.  That means it was up to me to create the article.  The only thing I had to go on was what I remembered from the nature show.  So, all I could say was this:

"Brine pools have been discovered at on the ocean floor near methane vents. Lifeforms around these pools do not depend on the sun for energy."

That's it.  That was the whole article.  It's dangerous (metaphorically) to add articles to Wikipedia.  Wikipedia is a vicious and uncaring environment with nearly draconian rules about what can stay and what must be removed.  It's doubly risky (again, metaphorically) to create an article with only one sentence for a topic that isn't well know.  The final risk is posting such an article without any citations.  

By some miracle, the brine pool Wikipedia article grew.  This happened due to other editors adding more detail and cited sources.  Images were added soon after.  I kept an eye on the article and helped edit it further from time to time until late 2010.  At that time, the article grew to include a couple of images and three subheadings, each with a short paragraph.  By the Wikipedia measure, it was "2,960 bytes".  

2010 is around the time I stopped editing on Wikipedia in general, but for no other reason than I just got too busy.  So, I forgot about this little article over time.  It wasn't forgotten by others, though.  The article had a moderate number of edits between 2010 and 2017.  Its size grew to a modest 3,410 bytes by the middle of 2018.  

In August of 2018, according to the article's history, something weird happened.  An anonymous editor added a new subheading with a rather large paragraph.  The problem with this edit was that the subject of the subheading had nothing to do with brine pools, but was actually about the land formation of artificial brine sinks.  The edit appears to have been made in good faith by someone who did not understand the topic of brine pools.  After some back-and-forth edits, the incorrect subheading was removed by other editors.  After that, edits to the article went quiet until September last year.

It appears that someone familiar with the topic of brine pools added a ton of detail in Fall of 2020.  Edits by others quickly followed.  The article ballooned to 10,269 bytes, then again to 21,471 bytes.  Over the past year, the article has received regular and quality edits.  It's turned into a good article about the subject.  The current version of the article is 28,184 bytes with five well flushed-out subheadings and tons of cited sources.  Of course, a lot new information has been discovered about brine pools in the past 15 years, which may have something to do with the explosion of information added to the article.  Most of the cited scientific studies were published since the inception of the brine pool article.

How did I suddenly remember this little article that could?  Literally yesterday, a related geological formation, called cold seep, showed up in a news feed.  Cold seeps are associated with one of the three methods that form brine pools.  So, I was reminded about the article I created all those years ago.  I checked out the brine pool article, and it is glorious (hyperbole, of course).  

I'm glad I was able to contribute in some small way to the dissemination of scientific knowledge.  I've created many other Wikipedia articles, but this one seems to be the most impactful.

One side note, I've actually referenced Wikipedia a lot over the years!  Check out this search: Wikipedia search.

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Maybe we are the first

I've said several times that it is possible that the human species is the first species in the Milky Way galaxy to evolve to our level of intelligence and technology.  This opinion is based on information about just how much needs to happen to allow for the spark of life in conjunction with the apparent rarity of our own solar system.  The recent study Relative likelihood for life as a function of cosmic time seems to confirm this idea.

A basic premise is that life requires stars for two different purposes.  The study states,

Life requires stars for two reasons. Stars are needed to produce the heavy elements (carbon, oxygen and so on, up to iron) out of which rocky planets and the molecules of life are made. Stars also provide a heat source for powering the chemistry of life on the surface of their planets.^[001]

This means that rogue planets aren't likely to spark or support life.  This also means that Population III and most Population II stars systems will not have life either, because they are unlikely to have the elements necessary to form terrestrial planets.  That pretty much leaves us with Population I stars.

Rogue planet, artist concept

Population III or II stars, artist concept

What's all this about "Population"? It's a name for stars at various stages of galaxy development.  

• Population III stars are the stars that likely formed right after the Big Bang.  They have not been directly observed, so their existed is estimated.  They were made up of mostly Hydrogen and Helium.  As such, they are unlikely to have any planets.
• Population II stars are stars that are still made up of mostly Hydrogen and Helium, but have higher concentrations of elements such as Oxygen, Silicon, Neon, etc.  Typically, such star systems are still unlikely to contain terrestrial planets.  Many Population II stars still exist in our galaxy, though in regions without access to many heavier elements.
• Population I stars are stars that are yet again still made up of mostly Hydrogen and Helium, but have much higher concentrations of the more stable element Iron and other heavy elements.  Population I star systems are much more likely to contain terrestrial planets.  The Sun (Sol) is a Population I star.

Why is this discussion about "Populations" important to the discussion about the arrival of human-like intelligence?  At the risk of oversimplifying this a bit, I'll state that Population III stars lead to the formation of Population II stars, and Population II stars lead to the formation of Population I stars.  As each generation of stars lived out their lifespans, they made way for the next generation to arise.  Population I stars could not have formed 13.5B years ago; there weren't enough heavy elements around.  Just as today, it is extremely unlikely that Population III stars could arise now; there's too much heavy elements around.

Life is very unlikely to have occurred until Population I stars formed and supported terrestrial planets.  Terrestrial planets in the Goldilocks Zone around their star then had to have the necessary events and composition to allow for the spark of life to occur, and subsequently support life until species of higher intelligence evolve.

Is Earth ahead of the curve for the development of life?

The previously mentioned study suggests that Earth may have developed life to the human-level a bit earlier than average.  The study concludes that, "life around low mass stars in the distant future is much more likely than terrestrial life around the Sun today."^[001]  Life throughout the galaxy may be far more common billions of years from now than it is today.  That also means that there may not be any/many other alien species with which we can contact and interact right now.  The study puts our odds at 0.1%.^[001]

This could explain why we've not seen evidence of extraterrestrial intelligent life in our galaxy.  Maybe we are among the very first. Others like us are so rare, we will not be able to contact each other.

Maybe a billion years from now, a future intelligent species will evolve on some future (yet to exist) world, and when they point radio telescopes into their  night sky, they receive a song of hundreds of thousands radio signals from just as many other civilizations.  Maybe, if our species is able to continue evolving, our long-from-now-posterity becomes the evil invaders of other worlds, rather than our world being the one constantly invaded, as Hollywood would have us imagine.  Maybe we are the monsters in waiting.

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Article Series:

• Limited lifespan of Habitable Zones around other stars [and a loosely held secret finally revealed about me]
• Small stars may have stable Habitable Zones, but habitable planets might not be common there
• Habitable Planets around White Dwarfs
• Habitable Worlds Around Binary Star Systems might not match Sci-fi
• How many Earth-like planets are orbiting Sun-like stars?
• First round of life in the Universe might have been possible extremely early
• Factors a planet needs for suitability of life; perhaps
• "Goldilocks zone of metallicity" on a galactic scale
• Maybe we are the first

"Goldilocks zone of metallicity" on a galactic scale

What does the night sky look like to a planet within the Galactic Bulge?  Cool Cosmos describes it as,

Stars in the Galactic Center are so concentrated that they typically are only a few light weeks away from each other. In contrast, our local neighborhood of stars are separated from one another by light years. If we found ourselves on a planet near the Galactic Center, our nighttime sky would light up in a blazing display every night, filled with stars as bright as the planet Venus looks to us.^[001]

However, would there be a habitable planet from which to see this sight?  Is it possible to have life-supporting planets near the Galaxy's center?

The concept of Habitable Zones around stars has been studied for a couple of decades.  Life similar to ours can only exist on planets that are a certain distance from their sun.  This is due to the amount of energy from the sun that is received by the planet.  Too much energy, the planet is too hot.  Too little energy, the planet is too cold, hence the Goldilocks reference.

There's another type of Habitable Zone at the galactic scale which uses a somewhat different set of criteria.  Solar systems which have planets that can support life must themselves be made from material that has a lot of elements that are heavier than Helium.  In astronomy, elements heavier than Helium are often referred to as metals.  Metal content of a star is called its metallicity.  The danger is that is if a solar system is made from material that is too rich in metallicity, Earth-sized planets may not be able to exist due to the likelihood of much larger (heavier) worlds displacing those Earth-size planets.  Hence, "Goldilock zone of metallicity" is the idea that certain regions of a galaxy may be too metal-rich and other regions may be metal-poor in order to allow for the presence of Earth-like worlds.^[002]

It's not just the metals

Metallicity is not the only factor, however.

Early intense star formation toward the inner Galaxy provided the heavy elements necessary for life, but the supernova frequency remained dangerously high there for several billion years.^[002]

If a solar system is too close to the galactic core, the intense supernova frequency in a young galaxy might've keep many worlds from supporting life.  This is because they would have experienced numerous blast waves, cosmic rays, gamma rays and x-rays that are fatal to lifeforms.^[002]  As the collective of solar systems age and die, they would have contributed to increasing metallicity.  This means, the right conditions for life on Earth-like planets may have never happened near the galactic core.  Stars that are too close to the galactic core never had and never will have the right conditions to support Earth-like worlds with Earth-like life.

Where can solar systems with habitable planets reside within the Milky Way?  According to the study The Galactic Habitable Zone and the Age Distribution of Complex Life in the Milky Way, the inner bulge component, diffuse halo component, and a thick disk component of our Milky Way Galaxy would not likely allow for Earth-size planets to exist within the right timeframe.^[002]  So, the Habitable Zone of our Milky Way Galaxy isn't even really based on distance from the galactic core.  It's a somewhat washer-shape region in between all the places that Earth-sized planets cannot exist within solar systems.

Current Habitable Zone of Milky Way 

Given all of these factors, the authors of the study The Galactic Habitable Zone and the Age Distribution of Complex Life in the Milky Way state,

We identified the Galactic habitable zone (GHZ) as an annular region between 7 and 9 kiloparsecs from the Galactic center that widens with time and is composed of stars that formed between 8 and 4 billion years ago.^[002]

Knowing our Milky Way's Habitable Zone helps us in the search for life on other worlds.  We can focus more efforts on this space.  This isn't to say that this is the only space where life can and does reside.  The Galactic Habitable Zone is just our safest bet for finding evidence of life.

Primary reference:
C. H. Lineweaver,Y. Fenner, B. K. Gibson, Science 303:59–62, DOI: 10.1126/science.1092322, The galactic habitable zone and the age distribution of complex life in the Milky Way

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Article Series:

• Limited lifespan of Habitable Zones around other stars [and a loosely held secret finally revealed about me]
• Small stars may have stable Habitable Zones, but habitable planets might not be common there
• Habitable Planets around White Dwarfs
• Habitable Worlds Around Binary Star Systems might not match Sci-fi
• How many Earth-like planets are orbiting Sun-like stars?
• First round of life in the Universe might have been possible extremely early
• Factors a planet needs for suitability of life; perhaps
• "Goldilocks zone of metallicity" on a galactic scale
• Maybe we are the first

Hypotheses, Theories, Laws and all that jazz

When I was in high school, I learned about hypotheses, theories, laws and principles.  The problem is that I was taught that these were hierarchical.  It took a long time for me to learn on my own that is not the case. They aren't necessarily stages in the understanding of our Universe.  A single hypothesis does not become a theory.  A theory does not eventually become a law.  A law does not eventually become a principle.  Furthermore, this list is missing the category of models.  Each of these are different things that serve the Scientific Method in different capacities.  Berkeley University of California states,

"Hypotheses, theories, and laws are rather like apples, oranges, and kumquats: one cannot grow into another, no matter how much fertilizer and water are offered. Hypotheses, theories, and laws are all scientific explanations that differ in breadth — not in level of support."^[001a]

Hypothesis 

A hypothesis is a proposed or suggested explanation for a phenomenon.  The hypothesis is stated in such a way as to allow for scientific testing for specific expectations.  The hypothesis must be testable in a falsifiable manner.  That means, to test the hypothesis, you must be able to conceive of and test methods that can potentially disprove the hypothesis.

The value of the hypothesis is that it allows us to simplify initial observations into a testable statement so that we can determine if the basis for the hypothesis is true or false.  You can test to find supporting evidence for the hypothesis.  You can also test to find refuting evidence which disproves the hypothesis.  

Hypotheses are typically formed by one or a few persons who then conduct tests as experimenters to prove and disprove it in the pursuit to solve a problem.  A hypothesis is often not a single point in research.  Experimenters may test and reject several hypotheses before solving a problem.  Disproving one particular hypothesis is just as important to Science is proving another hypothesis.^[001b]

There is a subcategory of hypotheses called working hypothesis, which have some evidence to support them.  As such, they are tentatively accepted as a basis for further study.

Theory

A theory is a substantiated and unifying explanation for some aspect of the natural world.  Substantiation is acquired through the Scientific Method, with repeated testing and confirmation using written and predefined protocols for observations and experiments.

Theories are testable and make falsifiable predictions.  They allow for predictions to be made about a phenomenon, and they also explain the causes for the phenomenon.  

Science historian Stephen Jay Gould said, 

“...facts and theories are different things, not rungs in a hierarchy of increasing certainty. Facts are the world′s data. Theories are structures of ideas that explain and interpret facts.”^[002]

Theories are typically formed by consensus by many different people over a substantial period of time.  Theories aren't just thought up by one individual and then magically accepted by everyone else.  They are often heavily debated while they are being formed.  This debate drives further hypotheses and experimentation that eventually helps develop the theory.

Theories are not absolute points.  Once you have a theory, that doesn't mean the matter is settled.  It just means that the evidence up to that point allows you to create a structure that provides both reliable predictions and explanations for phenomenon.  Theories are often modified or replaced when better structures allow for better predictions and explanations.

A classic example of the process of debate to come to an eventual consensus is the Big Bang vs. Steady State theories debate, in which experimentation on both sides eventually lead to a much better understanding of our Universe.^[003]

Model

A model is a often overlooked scientific tool to make a particular aspect of the natural world easier to understand, define, quantify, visualize or simulate based on commonly accepted knowledge.  Modelling requires selecting and identifying relevant aspects of a situation in the real world, then applying techniques such as conceptual models to better understand, operational models to operationalize, mathematical models to quantify and graphical models to visualize the subject.

A model seeks to represent empirical objects, phenomena, and physical processes in a logical and objective way. All models are in simulacra, that is, simplified reflections of reality which allow for useful approximations.

A model is evaluated by its consistency to empirical data.  Inconsistency or irreproducibility of observations must force modification or rejection of a model.  A model must be able to explain past observations, predict future observations and have refutability, just like theories from which the models are typically built.

Law

A law is a description of a phenomenon in a particular situation without considering the cause.  Peter Coppinger of Rose-Hulman Institute of Technology states,

"Laws are descriptions — often mathematical descriptions — of natural phenomenon; for example, Newton’s Law of Gravity or Mendel’s Law of Independent Assortment. These laws simply describe the observation. Not how or why they work."^[004]

Laws are compact generalizations about data.  As with other scientific elements, laws are not immutable.  As more information is learned, laws can be changed.

It is important to note that laws can exist without theories.  Sometimes laws exist for many years before theories explain their causes.^[005]

Principle

A principle is really just a law that is true by definition.  The terms law and principle are often used interchangeably in Science.  A principle is not a higher grade above a law.  In fact, if you look up "Scientific Principle", your searches will inevitably lead to information regarding laws.

Some persons have suggested that laws can typically be reduced down to precise math formulae, such as the Laws of Thermodynamics and Ohm's Law.  Conversely, the suggestion is that principles are more general descriptions of the nature world.^[006]  Examples of such principles are Principle of Original Horizontality and Pareto Principle.

However, even this comparison is not an absolutely held distinction.  For example, Heisenberg's Uncertainty Principle is highly mathematical in nature. Conversely, the Law of Superposition has no mathematical reduction.  So even math provides no real distinction between the use of the words principle and law in Science.

Confusion
I guess the confusion about the relationships between laws, principles, hypotheses, theories and models is that it is not hierarchically ordered.  It seems counter-intuitive that Science, being the mechanism that has brought so much order to our understanding of the world, is itself not similarly ordered.  But, there's good reason for this.  Science doesn't work in absolutes.  Nothing is absolutely knowable.  As such, everything we know is subject to be revised based on what we later learn.  Having some sort of truth gradient would slow down the progress of learning since managing such grading would be an unnecessary distraction from the search for knowledge.

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Factors a planet needs for suitability of life; perhaps

There are many notions about what life might be like on other worlds.^[001]  However, from the limited examples of what we know about life, it would seem to us that there is a preference for life that is based on carbon and water.  As the study On the probability of habitable planets says,

...exploring the wide field of modern chemistry and challenging the most open-minded chemists reveals that with our present knowledge it is difficult to imagine any alternative chemistry approaching the combination of diversity, versatility and rapidity afforded by liquid water-based biochemistry. This results from the unique ability of carbon to form complex species, and the unique characteristics of water as a liquid solvent...^[002]

Another factor is that that carbon and the molecules that are formed from carbon seem to be very common in our galaxy, being found in interstellar space, other planets, comets, asteroids and space dust.  Organic material seems to be everywhere.^[002]  There is a nebula that is practically made of alcohol.^[003]

Perhaps are search for exoplanet life needs to extend beyond simply looking for water.  Maybe our search should include crosschecking with a search for carbon.

Concept illustration of Kepler-22b, which may be a good
place to search for life

According to On the probability of habitable planets, there are four types of habitability on planets that may harbor life in some form.

• Class I - Habitats where conditions allow for water on the surface, and where energy is primarly provided by the planet's sun.  This is the most Earth-like class.
• Class II - Habitats where the planet may have had water on the surface early on, but conditions did not allow the planet to retain that water.  This is most Mars-like class.
• Class III - Habitats where significant water exists below the surface, and where such underground oceans can interact with a silicate-rich core.  This planets may be too far from their sun to have surface liquid water, but via some process, such as geothermal heating, liquid water is present within the planet.  This is the most Europa-like class.
• Class IV - Habitats where a lot of liquid water exists above an icy layers. Oceans may actually be sandwiched between ice layers.  Ganymede and Callisto may represent this class.

Is complex and even intelligent life possible on any of these classes?  It seems that the most likely class that would have complex life is Class I.  But, of course that is based on assumptions and biases born from our own example.  Classes II, III and IV may extend the limits of what is considered to be the Habitable Zone around a star.

Another factor is the CO₂ cycle.  Perhaps the CO₂ content of a planet will allow that planet to retain more heat from its sun.  

It turns out that a thick CO₂ atmosphere may be one of the most efficient solutions for keeping a planet warm. This is not only due to the properties of the CO₂ gas itself.

However, taking into account the radiative effects of the CO₂ ice clouds, which tend to form in such thick CO₂ atmospheres allows further increases in the warming of the surface thanks to a cloud “scattering greenhouse effect”.  Taking into account this process, the outer edge of the habitable zone has been extended as far as 2.5 AU.^[002]

In other words, CO₂ in the right mixture within a planet's atmosphere may extend the outer limit of how far a way a planet can be from its sun and still be warm enough to support life.  But, other factors must be explored.

[A planet] staying in the habitable zone is obviously not sufficient for a planet to continuously maintain liquid water on its surface: it must have an atmosphere which keeps the surface pressure and the surface temperature (through its greenhouse effect) in the right range, for billions of years.^[002]

In addition to forming the correct atmosphere necessary to support life, a planet must also be able to keep that atmosphere for a very long time. Also, that atmosphere may need to change over time in order to adjust to changes in stellar output.  For example, a planet has to be large enough (or have enough gravity) to keep its atmosphere from escaping, not just as a result of simply drifting away, but also to counter the effect of stellar wind and other star related phenomenon.^[002]

Plate tectonics is another factor that may be important to a planet's ability to support life.  Plate tectonics manage planetary cycles, such as CO₂.^[004]  The process of how a planet develops plate tectonics on a global scale is not well understood.  However, when examining the two examples of planets of similar size within our own solar system, Earth and Venus, the key difference appears to be water.  Perhaps the higher water content of Earth enables plate tectonics.  How special is Earth, after-all?^[002]  

Would an equivalent to plate tectonics be necessary on class III and IV planets?  For those same classes, atmospheres may not be a factor at all, since oceans would be underground.  What other cycles would be necessary in such classes?  How many class I planets with a long term atmosphere and plate tectonics are in Habitable Zones?  There's a lot of open questions.  Another question I have, would we be able and willing to seed Terran lifeforms on these other classes planets (and moons), even within our own solar system, even if we do not intend to colonize them for ourselves?

Pirmary reference:
F. Forget. International Journal of Astrobiology, 13, Issue 3, July 2013, pp. 177-185, arXiv:1212.0113 [astro-ph.EP], On the probability of habitable planets

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• Limited lifespan of Habitable Zones around other stars [and a loosely held secret finally revealed about me]
• Small stars may have stable Habitable Zones, but habitable planets might not be common there
• Habitable Planets around White Dwarfs
• Habitable Worlds Around Binary Star Systems might not match Sci-fi
• How many Earth-like planets are orbiting Sun-like stars?
• First round of life in the Universe might have been possible extremely early
• Factors a planet needs for suitability of life; perhaps
• "Goldilocks zone of metallicity" on a galactic scale
• Maybe we are the first