Re: AI catfishing [was Re: ChatGPT and ontologies]

Paola,

I apologize for my lack of participation/contribution in the previous
conversations, but I have been following the discussions closely.  As a
knowledgeable researcher in the field of artificial intelligence, I share
your concerns about the challenges of legislating AI. It is an honor to
have participated and contributed to the Trustworthy and Responsible AI -
AI Risk Management Framework workshops and Blueprint for an AI Bill of
Rights workshops hosted by the National Institute of Standards and
Technology. The NIST Blueprint for an AI Bill of Rights, created in 2020,
represents a significant step forward in promoting the responsible use and
development of artificial intelligence. The set of principles outlined in
the blueprint aim to ensure that AI systems are used in a way that respects
human rights, values, and dignity, and that the benefits of AI are widely
shared. The participation and contribution in these workshops further
emphasizes our commitment to responsible AI practices and to shaping a
future where AI is used for the betterment of society.

The NIST Blueprint for an AI Bill of Rights, which can be found at
https://www.se.gov/ostp/ai-bill-of-rights/what-is-the-blueprint-for-an-ai-bill-of-rights/,
is a commendable effort, however, the complex nature of AI and its rapidly
evolving technology present significant challenges in creating effective
and enforceable legislation.

Labeling AI-generated content and making data sources mandatory to some
extent aligns with accepted human conventions and could bring significant
benefits. However, the reality of research ethics and scholarly publishing
is far from perfect, and even human-generated content can be plagiarized or
fabricated. This highlights the need for a comprehensive approach to
regulating AI that takes into account the unique challenges posed by this
technology.

The blurring of boundaries between AI and human-generated content raises
valid questions about what constitutes AI-generated content and what
standards should apply. It is crucial to have clear definitions and
guidelines to ensure that AI systems are held to appropriate standards and
that the rights and values of individuals are protected.

The development of effective legislation for AI is a complex and
challenging task, but it is essential to continue exploring and addressing
these issues to ensure the responsible use and development of AI. Further
research and discussion are necessary to determine the best approach to
regulating AI and balancing the benefits of technology with the need to
protect human rights and values.

********************************************************************
* Comprehensive recommendation for legislating AI.*

Introduction:

Artificial Intelligence (AI) is a rapidly advancing field with immense
potential to transform many aspects of our lives. However, with this
potential comes a need for clear and comprehensive legislation to ensure
that AI is developed, used, and regulated in a manner that is ethical,
responsible, and in the best interests of society.

The aim of this paper is to provide a comprehensive recommendation for
legislating AI. The paper will outline the key principles that should form
the basis of such legislation, and provide a detailed description of what
such legislation might look like in practice.

Key Principles for AI Legislation:

Transparency: AI systems should be transparent in their decision-making
processes and operations. This includes providing clear explanations for
how decisions are made and how data is used.

Responsibility: AI systems should be designed and used in a manner that is
accountable and responsible. This includes ensuring that AI systems do not
cause harm or discriminate against certain groups, and that appropriate
measures are in place to address such harm if it occurs.

Privacy: AI systems should respect the privacy of individuals and be
designed in a manner that protects personal data. This includes ensuring
that data is collected and used in a manner that is compliant with privacy
laws and regulations.

Safety: AI systems should be designed and used in a manner that is safe and
does not pose a risk to public safety. This includes ensuring that AI
systems are tested and validated prior to deployment, and that appropriate
measures are in place to mitigate any potential risks.

Fairness: AI systems should be designed and used in a manner that is fair
and unbiased. This includes ensuring that AI systems do not discriminate
against certain groups, and that appropriate measures are in place to
address any instances of discrimination.

Legislation for AI:

Definition of AI: The legislation should provide a clear definition of AI,
including its various forms and applications. This will help to ensure that
the legislation is comprehensive and applies to the full range of AI
technologies and systems.

Regulatory Authority: The legislation should establish a regulatory
authority responsible for overseeing the development and deployment of AI
systems. This authority should have the power to enforce the principles
outlined in the legislation, and to impose penalties on organizations that
violate these principles.

Licensing and Certification: The legislation should require that
organizations developing and deploying AI systems obtain a license or
certification from the regulatory authority. This will ensure that AI
systems are developed and used in a manner that is compliant with the
principles outlined in the legislation.

Data Management: The legislation should require organizations to manage
data used in AI systems in a manner that is transparent, responsible, and
in compliance with privacy laws and regulations. This will help to ensure
that data is used ethically and in the best interests of society.

Testing and Validation: The legislation should require organizations to
test and validate AI systems prior to deployment, and to demonstrate that
these systems are safe and do not pose a risk to public safety.

Liability: The legislation should establish a clear framework for
determining liability in the event that an AI system causes harm or
violates the principles outlined in the legislation. This will help to
ensure that organizations are held accountable for the systems they develop
and use.

By providing clear definitions, establishing a regulatory authority, and
requiring licensing and certification, organizations can be held
accountable for their use of AI and ensure that the technology is used in a
responsible and ethical manner. The principles of transparency,
responsibility, privacy, safety, and fairness provide a strong foundation
for AI legislation, and should be central to any efforts to regulate this
rapidly evolving field.

I can not emphasize enough the importance of international cooperation in
the regulation of AI. With AI being a rapidly advancing field with global
implications, it is important to have a coordinated approach to its
regulation. This could involve the creation of international agreements or
the establishment of international regulatory bodies to ensure that AI is
developed, used, and regulated in a manner that is consistent across
borders.

In conclusion, it is important to continue exploring and addressing the
challenges of legislating AI, and to engage in a constructive dialogue
about the future of AI and its regulation. The development of effective
legislation for AI is essential to ensure that the technology is used in a
manner that is in the best interests of society and protects the rights and
values of individuals.

Best regards,
Patrick Besner





On Mon, Feb 13, 2023 at 12:19 AM Paola Di Maio <paola.dimaio@gmail.com>
wrote:

> When it comes to legislating AI, I still have not made my mind up as to
> exactly what would such legislation look like,
>
> I agree that labelling AI generated content/ would be feasible and highly
> beneficial
> I would also make the data sources mandatory (to some extent)
> In the same way that sources need to be cited in scholarly papers
> (artificial intelligence should follow the accepted human conventions )
>
> Problem is
>
> a) even human plagiarize sources and fabricate data and get away with it.
> Even if on the face of it research publication ethics is promoted, the
> reality is that the very same journals  that declare to adhere to research
> ethics, in reality, blatantly plagiarized and nobody can do anything about
> it
> (because of flaws in scholarly publishing. because lawyers are  expensive
> and because publishing houses are part of powerful cartels etc etc)
>
> Can we demand/expect that AI adheres to better standards than humans?
> b) there is an increasingly blurring of the boundaries between what is AI,
> For example, how data is actually machine generated or processed in the
> first place
>
> On Sat, Feb 11, 2023 at 11:49 PM David Booth <david@dbooth.org> wrote:
>
>> On 2/11/23 05:10, Dave Reynolds wrote:
>> > On 10/02/2023 18:01, David Booth wrote:
>> >> I personally think we need legislation against AI catfishing, i.e., AI
>> >> *pretending* to be human.
>> >>
>> >>   - AI-generated content should be clearly labeled as such.
>> >>
>> >>   - Bots should be clearly labeled as such.
>> >
>> > A worthy aim though I'm skeptical any such legislation could be
>> usefully
>> > enforced.
>>
>> Certainly not 100%, but I think they could still help reduce the
>> problem, particularly if they're targeted at the civil level, which has
>> a much lower burden-of-proof threshold than the criminal level.  Laws
>> regarding fraud, false advertising and accurate product labeling all
>> come to mind as examples of laws that help, even if they're not 100%
>> usefully enforced.
>>
>> Best wishes,
>> David Booth
>>
>>

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