In a United States Senate hearing on AI oversight, stability AI emphasized the importance of open models for transparency, competition, and resilience in AI development. The company focuses on developing open models that encourage public scrutiny, drive competition, and promote the rapid adoption of AI across the economy. The paper offers suggestions for the future of oversight, including risk-based measures for compute providers, model developers, and application developers. The authors emphasize the importance of promoting openness in AI to improve safety, foster competition in essential AI services, and ensure the US retains global leadership in AI.
foreign
T and in breaking news from yesterday
May the 16th the United States Senate
held a hearing to consider the future of
AI oversight ahead of the hearing
stability AI shared a detailed paper
emphasizing the importance of open
models for a transparent competitive and
resilient digital economy the paper from
CEO emad most SECU at stability AI to
the United States Senate highlighted The
crucial role of open models in promoting
transparency competition and resilience
in AI development in the 15-page
document the paper discusses the
importance of open models for
transparency competition and resilience
in Ai and the challenges posed by
oversight stability AI a company that
develops AI technology focuses on
developing open models that are
transparent accessible and human-centric
open models encourage public scrutiny
Drive competition and promote the rapid
adoption of AI across the economy the
paper offers suggestions for the future
of oversight including risk-based
measures for compute providers model
developers and application Developers
open models enable Fair access and
representation allowing for diverse
perspectives and communities to
contribute to AI development however
recent AR models pose challenges for
oversight due to their complexity
non-deterministic nature and potential
for harm the paper advocates for a
risk-based approach to oversight that
acknowledges the variety of factors in
the AI ecosystem and encourages open
Innovation while ensuring transparency
competition and National resilience in
AI
the paper goes on to discuss the
different risk profiles associated with
AI models which depend on factors such
as size content data quality compute
resources customization and integration
the authors suggest a range of
mitigations for different risks such as
content authenticity standards filters
best practices for data sets and improve
techniques for training they also offer
several suggestions for the future of
oversight including policies for cloud
computing providers operational
informational security guidelines for
highly capable and highly adaptable
models disclosure requirements for
application developers and the adoption
of content authenticity standards by AI
service and application providers
finally the authors emphasize the
importance of promoting openness in AI
to improve safety through transparency
Foster competition in essential AI
services and ensure the US retains
Global Leadership in AI
So based on what we've just heard
advocating for open models in AI
oversight it makes sense that the EU
should also prioritize the development
of open models in AI oversight to
promote transparency competition and
resilience in the digital economy while
also carefully considering restrictions
that may impact Global business growth
okay so that's all for now thank you
very much for watching the video please
don't forget to like And subscribe and
join me on the journey to unlock the
potential of AI I'll see you next time
and all the very best I'm Chris from the
voice of AI and cheers and bye-bye now
foreign
On May 16th, the United States Senate held a hearing to discuss the future of AI oversight. Ahead of the hearing, Stability AI, a company that develops AI technology, shared a paper with the Senate that emphasized the importance of open models for transparency, competition, and resilience in the digital economy.
The paper highlights the crucial role of open models in promoting public scrutiny, driving competition, and encouraging rapid adoption of AI across the economy. Open models allow for fair access and representation, enabling diverse perspectives and communities to contribute to AI development.
The paper suggests a risk-based approach to oversight that acknowledges the various factors in the AI ecosystem while ensuring transparency, competition, and national resilience in AI. The authors emphasize the importance of promoting openness in AI to improve safety, foster competition in essential AI services, and ensure the US retains global leadership in AI.
While there may not be a direct impact on customer support, companies that develop AI technology must consider the importance of transparency and openness in their models. Transparency in AI can lead to increased trust and confidence in the technology, ultimately improving customer satisfaction.
Furthermore, openness in AI development can encourage diverse perspectives, leading to the creation of AI technology that is more inclusive and accessible to all customers. As companies strive to develop AI models that meet the needs of a diverse customer base, promoting openness and transparency in AI development is crucial.
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Effective social media support and customer service is critical for businesses to retain customers and avoid negative impacts on their reputation. Best practices include setting up monitoring tools, training staff to respond on social networks, introducing problem-solving protocols, creating a FAQ section, using customer service software, responding quickly and transparently to requests, and identifying community managers. Businesses should also avoid deleting negative comments and be discreet with private information. Creating an exclusive Twitter customer service account and following up with customers can further improve customer loyalty. Good examples of social media support can build trust and lead to positive outcomes for businesses.
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