Ethics & Causes

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Ethics

We are committed to working with integrity and for the betterment of Australia. We know ML can be used in unethical ways and given this, we work closely with our customers to ensure they understand the implications of using ML across their organisation, stakeholders, customers and beneficiaries and ensure they use ML to help Australian's enjoy a higher standard of living. This includes working within the legislative framework of each elected Australian jurisdiction. This then applies to our international counterparts as well.

How AI needs to
 be ethical

Automation

Automation is common with current rules engines. ML automation needs to include the ability to explain its decisions and to have proven itself trustworthy in al…

Automation is common with current rules engines. ML automation needs to include the ability to explain its decisions and to have proven itself trustworthy in all circumstances in order to be used in an automation fashion. Most processes do not require full automation, but rather decision support for human decisions.

read more

Inequality

While we strive to have a community of equals, there are times and places where inequality exists. ML should provide a reduction of inequality by helping to dis…

While we strive to have a community of equals, there are times and places where inequality exists. ML should provide a reduction of inequality by helping to discover and highlight ways to reduce inequality in society, such as optimising technology capability to enable all Australians the ability to have modern telecommunications for all.

read more

Errors

Humans and computers have also been known to make errors throughout history. Some of these have been catastrophic. ML by its very nature is an approximation eng…

Humans and computers have also been known to make errors throughout history. Some of these have been catastrophic. ML by its very nature is an approximation engine and as such, has errors built into its DNA. At Trellis Data we ensure that ML Errors are understood, including that ML errors are an important part of the ML process and achieving better outcomes for our customers includes ML Errors. Education is a key to ensuring that ML errors help achieve better results and are not contributors to negative outcomes.

read more

Bias

There have been a number of recent examples where ML has been misused and delivered biased results. This is evidence in some very public cases where it has been…

There have been a number of recent examples where ML has been misused and delivered biased results. This is evidence in some very public cases where it has been biased against minority groups in Western cultures. At Trellis Data we understand how ML works, from the mathematical models, to the use of data and final ML models that makes decisions. For this reason, we know how to ensure our customers achieve results without bias to any group within society. ML should empower minority groups and support them in achieving improved life outcomes just as much as any group in society.

read more

Security

ML can help significantly with making a country, place, community, or activity more secure. In particular with alerting when there is danger. As ML provides thi…

ML can help significantly with making a country, place, community, or activity more secure. In particular with alerting when there is danger. As ML provides this ability, it must be weighted against freedoms. Security should not come at the cost of individual freedoms as stated by Government legislation.

read more

Unintended Consequences

Most things in life can have many uses and ML is no exception. It is important that people who use ML in their organisations understand both the benefits as wel…

Most things in life can have many uses and ML is no exception. It is important that people who use ML in their organisations understand both the benefits as well as the risks. At Trellis Data, we continue to educate our customers on the use of our products, as well as how it should not be used. We want to minimise unintended consequences from the use of any ML solutions while maximising the huge benefits that ML can provide to communities and organisations.

read more

Singularity

While there is a lot of commentary on singularity and the notion of an all knowing intelligence using ML, this is simply not the case. ML is a mathematic capabi…

While there is a lot of commentary on singularity and the notion of an all knowing intelligence using ML, this is simply not the case. ML is a mathematic capability that, while highly sophisticated, is still a limited capability, in particular when compared to the human brain. Trellis Data does not believe

read more

Humaneness

ML is often thought to lack empathy. This is true. However, at Trellis Data, we educate our customers on how to have empathy within any ML process. ML does also…

ML is often thought to lack empathy. This is true. However, at Trellis Data, we educate our customers on how to have empathy within any ML process. ML does also have the ability to highlight ways in which people should best be engaged with and in this way, can provide a more empathetic response that non-ML options. At Trellis Data, we can help inform how to achieve this within our platform, and strive to ensure ML solutions take into account ‘the human’ in every decision, not simply an outcome.

read more

Automation

Automation is common with current rules engines. ML automation needs to include the ability to explain its decisions and to have proven itself trustworthy in al…

Automation is common with current rules engines. ML automation needs to include the ability to explain its decisions and to have proven itself trustworthy in all circumstances in order to be used in an automation fashion. Most processes do not require full automation, but rather decision support for human decisions.

read more

Security

ML can help significantly with making a country, place, community, or activity more secure. In particular with alerting when there is danger. As ML provides thi…

ML can help significantly with making a country, place, community, or activity more secure. In particular with alerting when there is danger. As ML provides this ability, it must be weighted against freedoms. Security should not come at the cost of individual freedoms as stated by Government legislation.

read more

Inequality

While we strive to have a community of equals, there are times and places where inequality exists. ML should provide a reduction of inequality by helping to dis…

While we strive to have a community of equals, there are times and places where inequality exists. ML should provide a reduction of inequality by helping to discover and highlight ways to reduce inequality in society, such as optimising technology capability to enable all Australians the ability to have modern telecommunications for all.

read more

Unintended Consequences

Most things in life can have many uses and ML is no exception. It is important that people who use ML in their organisations understand both the benefits as wel…

Most things in life can have many uses and ML is no exception. It is important that people who use ML in their organisations understand both the benefits as well as the risks. At Trellis Data, we continue to educate our customers on the use of our products, as well as how it should not be used. We want to minimise unintended consequences from the use of any ML solutions while maximising the huge benefits that ML can provide to communities and organisations.

read more

Errors

Humans and computers have also been known to make errors throughout history. Some of these have been catastrophic. ML by its very nature is an approximation eng…

Humans and computers have also been known to make errors throughout history. Some of these have been catastrophic. ML by its very nature is an approximation engine and as such, has errors built into its DNA. At Trellis Data we ensure that ML Errors are understood, including that ML errors are an important part of the ML process and achieving better outcomes for our customers includes ML Errors. Education is a key to ensuring that ML errors help achieve better results and are not contributors to negative outcomes.

read more

Singularity

While there is a lot of commentary on singularity and the notion of an all knowing intelligence using ML, this is simply not the case. ML is a mathematic capabi…

While there is a lot of commentary on singularity and the notion of an all knowing intelligence using ML, this is simply not the case. ML is a mathematic capability that, while highly sophisticated, is still a limited capability, in particular when compared to the human brain. Trellis Data does not believe

read more

Bias

There have been a number of recent examples where ML has been misused and delivered biased results. This is evidence in some very public cases where it has been…

There have been a number of recent examples where ML has been misused and delivered biased results. This is evidence in some very public cases where it has been biased against minority groups in Western cultures. At Trellis Data we understand how ML works, from the mathematical models, to the use of data and final ML models that makes decisions. For this reason, we know how to ensure our customers achieve results without bias to any group within society. ML should empower minority groups and support them in achieving improved life outcomes just as much as any group in society.

read more

Humaneness

ML is often thought to lack empathy. This is true. However, at Trellis Data, we educate our customers on how to have empathy within any ML process. ML does also…

ML is often thought to lack empathy. This is true. However, at Trellis Data, we educate our customers on how to have empathy within any ML process. ML does also have the ability to highlight ways in which people should best be engaged with and in this way, can provide a more empathetic response that non-ML options. At Trellis Data, we can help inform how to achieve this within our platform, and strive to ensure ML solutions take into account ‘the human’ in every decision, not simply an outcome.

read more

What we support

Trellis Data is committed to helping improve societal outcomes, in addition to delivering better outcomes through our products.

WWF

WWF is one of Australia’s most trusted conservation organisations. WWF work in Australia and the broader Asia-Pacific backyard to protect endangered species and habitats, meet the challenge of climate change, and build a world where people live in harmony with nature.

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