What is the context that we’re building this technology for, and will it make people feel good, or is it a bit too invasive?
copyright by www.cio.co.nz
We’re entering into a stage that anthropologist and futurist Professor Genevieve Bell described at Xerocon as ‘the fourth wave of industrialisation’, an era of cyber-physical systems – drones, robots and self-driving cars powered by artificial intelligence (AI).
As with any technology, artificial intelligence can have great benefits, but we need to be thoughtful about how it is deployed. One one hand, AI can automate tedious processes and remove the leg work from manual tasks. On the other hand, it can be used to be invasive and even manipulative.
If it’s very clearly positioned as serving your interests, this use of AI can be really positive – I think we’d all agree that recognising fraudulent behaviour on your bank account is a good thing. It can also be used in a negative way to manipulate you – such as recognising your political affiliations and swaying you to vote, or not to vote, or even to vote for a particular person or party.
The context of what we’re using technology for is more important than ever before. This is particularly true for AI.
AI is great for processing data in a way that humans can’t. It can do things at speed and at enormous scale. For example it can be used to recognise patterns and anomalies across data, which is very useful for predicting the cash flow of a business or automating aspects of accounting.
AI has many different applications – a simple one is in taking events of information in the real world and turning that into data. In a social context, an example is image recognition. You take a photo of your friends, upload it to social media and your friends are recognised and tagged to allow you to find them again easily.
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In a business context, we can use image recognition to capture the information that’s on a receipt and turn that into data that we can use to automate a task – such as auto-completing online expense claims.
People tend to find the AI either really useful – when it’s in a fairly safe context like recognising a receipt – or quite creepy – when you take a picture of 100 people and the machine can identify everyone.
People tend to find the AI either really useful – when it’s in a fairly safe context like recognising a receipt – or quite creepy – when you take a picture of 100 people and the machine can identify everyone.
That’s where this idea of context and trust comes through and these are concepts we should be keeping front of mind when developing AI. What is the context that we’re building this technology for, and will it make people feel good, or is it a bit too invasive?[…]
read more – copyright by www.cio.co.nz
What is the context that we’re building this technology for, and will it make people feel good, or is it a bit too invasive?
copyright by www.cio.co.nz
As with any technology, artificial intelligence can have great benefits, but we need to be thoughtful about how it is deployed. One one hand, AI can automate tedious processes and remove the leg work from manual tasks. On the other hand, it can be used to be invasive and even manipulative.
If it’s very clearly positioned as serving your interests, this use of AI can be really positive – I think we’d all agree that recognising fraudulent behaviour on your bank account is a good thing. It can also be used in a negative way to manipulate you – such as recognising your political affiliations and swaying you to vote, or not to vote, or even to vote for a particular person or party.
The context of what we’re using technology for is more important than ever before. This is particularly true for AI.
AI is great for processing data in a way that humans can’t. It can do things at speed and at enormous scale. For example it can be used to recognise patterns and anomalies across data, which is very useful for predicting the cash flow of a business or automating aspects of accounting.
AI has many different applications – a simple one is in taking events of information in the real world and turning that into data. In a social context, an example is image recognition. You take a photo of your friends, upload it to social media and your friends are recognised and tagged to allow you to find them again easily.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
In a business context, we can use image recognition to capture the information that’s on a receipt and turn that into data that we can use to automate a task – such as auto-completing online expense claims.
People tend to find the AI either really useful – when it’s in a fairly safe context like recognising a receipt – or quite creepy – when you take a picture of 100 people and the machine can identify everyone.
People tend to find the AI either really useful – when it’s in a fairly safe context like recognising a receipt – or quite creepy – when you take a picture of 100 people and the machine can identify everyone.
That’s where this idea of context and trust comes through and these are concepts we should be keeping front of mind when developing AI. What is the context that we’re building this technology for, and will it make people feel good, or is it a bit too invasive?[…]
read more – copyright by www.cio.co.nz
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