For the Defense - Vol. 8, Issue 3 - 23

can ensure that they are using AI in compliance with
applicable laws and regulations and that they are
aware of any ethical considerations that may arise.
to AI, which provides access to webinars, reports, and
other resources.
By taking these steps, lawyers can gain a better understanding
of the ethical dangers of using AI in the legal profession and ensure
that they are using AI in an ethical and responsible manner.
What are the ethical problems involved with black
box AI?
Black box AI refers to artificial intelligence systems whose
decision-making processes are opaque or difficult to understand.
This lack of transparency can lead to several ethical problems, some
of which are:
1.
Bias: If an AI system is opaque, it can be difficult
to know whether it is making decisions that are fair
and unbiased. If the system is based on biased data
or has underlying biases in its algorithms, it can
perpetuate or amplify those biases, leading to unfair
or discriminatory outcomes.
2. Lack of accountability: When an AI system is a
black box, it can be challenging to determine who
is responsible for any errors or issues that arise. This
lack of accountability can make it difficult to hold
individuals or organizations responsible for the
outcomes of the system's decisions.
3. Privacy: If an AI system is opaque, it can be challenging
to know what data is being used to make decisions
and how that data is being used. This can raise
privacy concerns, particularly if sensitive or personal
information is being used.
4. Trust: When people cannot understand how an AI
system is making decisions, it can be challenging to
build trust in the system. This lack of trust can lead to
skepticism or even rejection of the system, particularly
in cases where the outcomes of the system's decisions
have a significant impact on people's lives.
5. Lack of explainability: If an AI system is a black
box, it can be difficult or impossible to explain the
system's decision-making processes to stakeholders
such as clients, regulators, or the public. This lack of
explainability can raise concerns about the legality or
ethics of the system's decisions.
Overall, the ethical problems associated with black box AI relate
to issues of fairness, accountability, privacy, trust, and explainability.
To ensure that AI systems are ethical and responsible, it is crucial to
develop transparency and accountability mechanisms that enable
stakeholders to understand and evaluate the system's decisionmaking
processes.
What are some of the best resources for lawyers
wanting to learn about AI and ethics?
1. The American Bar Association (ABA) offers a variety
of resources related to AI and ethics, including CLE
programs, articles, and reports. The ABA's Center for
Innovation has a section on their website dedicated
2. The Future of Privacy Forum (FPF) has a resource center
on AI ethics that provides access to reports, guidelines,
and other resources related to the ethical implications
of AI.
3. The Stanford Institute for Human-Centered Artificial
Intelligence (HAI) offers a variety of resources related
to the ethical implications of AI, including reports,
articles, and a podcast series on AI ethics.
By exploring these resources, lawyers can gain a deeper
understanding of the ethical implications of AI in the legal
profession and learn best practices for the ethical and responsible
use of AI.
Why is learning about AI and ethics so imperative
for today's lawyers?
In February of 2023, there was an extraordinary development
which has underscored the need for lawyers to understand AI and
ethics.
Allen & Overy, one of the world's largest law firms, announced
that it had integrated the legal artificial intelligence product
Harvey into its global practice, where it will be used by more than
3,500 lawyers across 43 offices operating in multiple languages.
Harvey uses the GPT-3 technology (not ChatGPT) to enable
lawyers to create legal documents or perform legal research by
providing simple instructions using natural language.
Allen & Overy (A&O) describes itself as " the first law firm to
use generative AI that's based on OpenAI's GPT models. " Without
question, other law firms will adopt similar technology - Harvey's
founders report that they are working with other firms which are
preparing to deploy Harvey, some firmwide and some for specific
practice areas.
A&O began a trial of Harvey in November 2022. By the end of
the trial, some 3,500 A&O lawyers had asked Harvey approximately
40,000 queries for their day-to-day client work.
A&O has used Harvey in 50 different languages and 250 practice
areas across all its offices. " It's almost a fourth of the firm daily and
about 80% of the firm monthly, " according to one of Harvey's founders.
David Wakeling, A&O partner and head of its Markets Innovation
Group, which led the Harvey trial, said the technology is a gamechanger.
" I
have been at the forefront of legal tech for 15 years but I have
never seen anything like Harvey, " Wakeling said. " It is a gamechanger
that can unleash the power of generative AI to transform
the legal industry. Harvey can work in multiple languages and
across diverse practice areas, delivering unprecedented efficiency
and intelligence. In our trial, we saw some amazing results. "
Harvey will be fine-tuned for each firm that deploys it, according
to founders Winston Weinberg and Gabriel Pereyra.
Vol. 8, Issue 3 l For The Defense 23

For the Defense - Vol. 8, Issue 3

Table of Contents for the Digital Edition of For the Defense - Vol. 8, Issue 3

Contents
For the Defense - Vol. 8, Issue 3 - 1
For the Defense - Vol. 8, Issue 3 - 2
For the Defense - Vol. 8, Issue 3 - Contents
For the Defense - Vol. 8, Issue 3 - 4
For the Defense - Vol. 8, Issue 3 - 5
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