via University of Glasgow
Creating human-like AI is about more than mimicking human behaviour – technology must also be able to process information, or ‘think’, like humans too if it is to be fully relied upon.
New research, published in the journal Patterns and led by the University of Glasgow’s School of Psychology and Neuroscience, uses 3D modelling to analyse the way Deep Neural Networks – part of the broader family of machine learning – process information, to visualise how their information processing matches that of humans.
It is hoped this new work will pave the way for the creation of more dependable AI technology that will process information like humans and make errors that we can understand and predict.
One of the challenges still facing AI development is how to better understand the process of machine thinking, and whether it matches how humans process information, in order to ensure accuracy. Deep Neural Networks are often presented as the current best model of human decision-making behaviour, achieving or even exceeding human performance in some tasks. However, even deceptively simple visual discrimination tasks can reveal clear inconsistencies and errors from the AI models, when compared to humans.
Currently, Deep Neural Network technology is used in applications such a face recognition, and while it is very successful in these areas, scientists still do not fully understand how these networks process information, and therefore when errors may occur.
In this new study, the research team addressed this problem by modelling the visual stimulus that the Deep Neural Network was given, transforming it in multiple ways so they could demonstrate a similarity of recognition, via processing similar information between humans and the AI model.
Professor Philippe Schyns, senior author of the study and Head of the University of Glasgow’s Institute of Neuroscience and Technology, said: “When building AI models that behave “like” humans, for instance to recognise a person’s face whenever they see it as a human would do, we have to make sure that the AI model uses the same information from the face as another human would do to recognise it. If the AI doesn’t do this, we could have the illusion that the system works just like humans do, but then find it gets things wrong in some new or untested circumstances.”
The researchers used a series of modifiable 3D faces, and asked humans to rate the similarity of these randomly generated faces to four familiar identities. They then used this information to test whether the Deep Neural Networks made the same ratings for the same reasons – testing not only whether humans and AI made the same decisions, but also whether it was based on the same information. Importantly, with their approach the researchers can visualise these results as the 3D faces that drive the behaviour of humans and networks. For example, a network that correctly classified 2,000 identities was driven by a heavily caricaturised face, showing it identified the faces processing very different face information than humans.
Researchers hope this work will pave the way for more dependable AI technology that behaves more like humans and makes fewer unpredictable errors.
Original Article: DEVELOPING AN AI THAT ‘THINKS’ LIKE HUMANS
More from: University of Glasgow
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Human-like AI
- Generative AI: Is it time to rethink traditional engineering skills?on May 10, 2024 at 12:01 am
As more AI innovations become foundational to modern life, businesses are being more deliberate about how AI and machine learning will shape their futures.
- Indian Prairie School District 204 to add AI to curriculumon May 9, 2024 at 12:39 pm
The district is planning to incorporate discussions of AI into its curriculum at all grade levels and give high school students access to AI tools like Microsoft Copilot next school year.
- Should religion have a say on the future of AI? | Faith Forumon May 9, 2024 at 11:52 am
Although religion should have no role in determining civil policy, including the future of A. I. with all of its inherent dangers, we as individual citizens certainly do. We should be involved in all ...
- Differentiating Malicious AI From Malicious Humanson May 9, 2024 at 10:42 am
Granted, malicious humans could unleash malicious AIs that would present many of the above features, but such human-directed activity might still be differentiable from purely rogue AI behavior based ...
- Human-sounding AI can plan, help book your travel. But can you trust it?on May 9, 2024 at 6:54 am
Artificial intelligence-driven tools like Layla can now turn back the clock on that experience, engaging with users almost like humans to customize travel plans with lightning speed plus all the ...
Go deeper with Google Headlines on:
Human-like AI
[google_news title=”” keyword=”human-like AI” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Human-like AI artificial intelligence
- Philosophical discourse surrounding artificial intelligence: Extended findings of a meta-synthesis on ChatGPTon May 9, 2024 at 11:56 pm
In his seminal paper in 1950, ‘Computing Machinery and Intelligence’, Alan Turing raised the question: ‘Can machines think?’. Igniting debates among both philosophers and ...
- Artificial Intelligence- A crucial testament of Human Destructionon May 9, 2024 at 4:25 pm
Dr Sunish Sharma The debate over Artificial Intelligence (AI) and all possible damage it can do has accelerated in last few months. From ChatGPT to deepfakes to AI generated music, pictures and art ...
- Human-sounding AI can plan, help book your travel. But can you trust it?on May 9, 2024 at 6:54 am
Artificial intelligence-driven tools like Layla can now turn back the clock on that experience, engaging with users almost like humans to customize travel plans with lightning speed plus all the ...
- Human Expertise Meets Machine Intelligence: The Winning Formula for Modern Financial Planningon May 8, 2024 at 1:00 pm
Discover how the human advisers and AI together are creating a more robust and personalized financial planning experience.
- In an Era of Artificial Intelligence and Big Data, Human Touch Is Neededon May 8, 2024 at 6:19 am
While AI can assist with some decisions, it’s feasible that, at some level, overreliance on these technological capabilities ...
Go deeper with Google Headlines on:
Human-like AI artificial intelligence
[google_news title=”” keyword=”human-like AI artificial intelligence” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]