VERSES Publishes Breakthrough Research on Explainable Artificial Intelligence (XAI)
08 Juni 2023 - 3:00PM
VERSES AI Inc. (NEO:VERS) (OTCQX:VRSSF) ("VERSES'' or the
"Company”), a cognitive computing company specializing in the next
generation of artificial intelligence, announces the publication of
a landmark research paper, "Designing Explainable Artificial
Intelligence with Active Inference: A framework for
interpretability based on the study of introspection and
decision-making." The paper articulates methods for developing
human-interpretable, explainable artificial intelligence (XAI)
systems based on active inference and the Free Energy Principle,
which offers new possibilities for transparency and understanding
of AI processing.
VERSES’ research has emerged at a pivotal moment
for the AI Industry, coinciding with the recent calls for greater
AI explainability by the G7 Digital Ministers and new legislative
proposal by the EU in the AI Act that targets Large Language Models
(LLMS), like those employed by prominent organizations such as
OpenAI, Google, Microsoft, and Meta for their lack of
explainability. The study could have far-reaching implications for
how future AI systems are designed, implemented to be more easily
understood and regulated.
"Our research demonstrates the exciting potential of active
inference for designing AI systems that are both capable of making
complex decisions and explaining their reasoning in a way that
humans can understand. This represents a significant step forward
in building trust and accountability in AI,” said Mahault
Albarracin, Director of Product at VERSES and lead author of the
research paper.
The research proposes a unique AI architecture based on the
active inference framework and the Free Energy Principle. These
scientific principles can be used to create an AI that can explain
its decision-making process in human-understandable terms - a
significant advancement in the era of 'Explainable AI.'
A collaboration between researchers from VERSES, the Wellcome
Centre for Human Neuroimaging at University College London, the
Departments of Cognitive Computing and Philosophy at the Université
du Québec à Montréal, and the Berlin School of Mind & Brain at
Humboldt-Universität zu Berlin, the paper provides a compelling
overview of active inference for modeling decision-making with
human-like introspection.
The authors contend that their proposed architecture will enable
AI systems to track and explain factors contributing to their
decisions that can be further scaled up utilizing open standards
for knowledge modeling like those being developed by the IEEE
Spatial Web Working Group and are intended to be demonstrable in
VERSES KOSM OS and GIA products scheduled for release later this
year . This new approach to AI transparency aligns with growing
demands from regulators, policymakers, and human interest groups
for AI systems to be more interpretable and auditable by users.
"The ability for AI to explain its decision-making process is
crucial for building trust and understanding amongst end users,"
said Maxwell Ramstead, VERSES Director of Research. "Our proposed
framework takes an important step in this direction, potentially
revolutionizing how we view and interact with AI."
In response to growing global concerns about the risks and
safety around artificial intelligence, this breakthrough research
paper is set to be showcased at the upcoming Active Inference
conference in Belgium next month.
About VERSES
VERSES is a cognitive computing company specializing in
next-generation Artificial Intelligence. Modeled after natural
systems and the design principles of the human brain and the human
experience, VERSES flagship offering, GIA™, is an Intelligent Agent
for anyone powered by KOSM™, a network operating system enabling
distributed intelligence. Built on open
standards, KOSM transforms disparate data into knowledge
models that foster trustworthy collaboration between humans,
machines and AI, across digital and physical domains. Imagine a
smarter world that elevates human potential through innovations
inspired by nature. Learn more at VERSES, LinkedIn
and Twitter.
On Behalf of the Company
Gabriel RenéVERSES Technologies Inc.Co-Founder &
CEOpress@verses.ai
Media and Investor Relations Inquiries
Leo KarabelasFocus CommunicationsPresidentinfo@fcir.ca
The NEO has not reviewed or approved this press release for the
adequacy or accuracy of its contents.
Forward-Looking Statements Cautionary Note
The NEO has not reviewed or approved this press release for the
adequacy or accuracy of its contents.
This release includes certain statements and information that
may constitute forward-looking information within the meaning of
applicable Canadian securities laws. Forward-looking statements
relate to future events or future performance and reflect the
expectations or beliefs of management of the Company regarding
future events. Generally, forward-looking statements and
information can be identified by the use of forward-looking
terminology such as “intends” or “anticipates”, or variations of
such words and phrases or statements that certain actions, events
or results “may”, “could”, “should”, “would” or “occur”. This
information and these statements, referred to herein as
"forward-looking statements", are not historical facts, are made as
of the date of this news release and include without limitation,
statements relating to the impact of active inference and related
research on future AI development and explainable AI models, the
impact of active inference research on further advancements in AI
and the release date of the whitepaper. In making the
forward-looking statements in this news release, the Company has
applied several material assumptions, including without limitation,
that active Inference will play a significant role in the
development of explainable AI models and other milestones In AI and
that the Company will be able to finalize and release the
whitepaper on Its expected timeline.
These forward-looking statements involve numerous risks and
uncertainties, and actual results might differ materially from
results suggested in any forward-looking statements. These risks
and uncertainties include, among other things, that active
inference will not be widely applied in developing explainable AI
models, that active inference will not have application to other AI
milestones and that the Company will not be able to release the
whitepaper on its expected timeline. Although management of the
Company has attempted to identify important factors that could
cause actual results to differ materially from those contained in
forward-looking statements or forward-looking information, there
may be other factors that cause results not to be as anticipated,
estimated or intended. There can be no assurance that such
statements will prove to be accurate, as actual results and future
events could differ materially from those anticipated in such
statements. Accordingly, readers should not place undue reliance on
forward-looking statements and forward-looking information. Readers
are cautioned that reliance on such information may not be
appropriate for other purposes. The Company does not undertake to
update any forward-looking statement, forward-looking information
or financial out-look that are incorporated by reference herein,
except in accordance with applicable securities laws.
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