Introduce
yourself without the baggage of your previous actions?
https://bjlti.emnuvens.com.br/revista/article/view/8
Preserving
personal dignity: the vital role of the right to be forgotten
The
coexistence of the real and virtual worlds has resulted in a complex
interplay between them, where the definition of the virtual world
remains elusive. The rise of digital technologies and the
proliferation of personal data have led to concerns about privacy,
and the need to adapt the
concept of privacy to the current information infrastructure.
This adaptation requires a shift from the traditional focus on
defending the private sphere against external invasions to a
consideration of privacy issues in the context of the current
organization of power. The
Right to be Let Alone and the Right to be Forgotten are two legal
concepts that have gained importance in this context. The
former emphasizes an individual's right to total immunity from
injury, while the latter enables users to control their personal data
if it is no longer necessary for its original purpose or if it causes
more harm than benefits. The Right to be Forgotten is crucial to
protecting personal identity and privacy in the digital age, and it
provides a solution for issues related to data use and artificial
intelligence. Thus, a comprehensive understanding of the Right to be
Forgotten is essential to ensure effective protection of individual
rights and uphold principles of human dignity.
Conflict.
https://www.pogowasright.org/d-idaho-def-cant-get-access-to-his-cell-phone-yet-because-govt-has-yet-to-search-it-because-its-password-protected/
D.Idaho:
Def can’t get access to his cell phone yet because govt has yet to
search it because it’s password protected
FourthAmendment.com
notes this case in Idaho:
Defendant wants return of his cell phone
because he asserts, without specifying, that there is exculpatory
evidence on it. The government responds that it hasn’t opened the
phone yet because it is password protected. The government wants the
password to open it, but defendant refuses. There’s nothing to
preclude at trial here yet. United States v. Vezina, 2023 U.S. Dist.
LEXIS 38806 (D. Idaho Mar. 7, 2023).
Read
the excerpt from the court’s opinion on FourthAmendment.com.
Extermination,
one at a time?
https://link.springer.com/chapter/10.1007/978-3-031-25315-7_16
Robots,
AI, and Assisted Dying: Ethical and Philosophical Considerations
The
focus of this chapter is on some of the ethical and philosophical
issues at the intersection of robotics and artificial intelligence
(AI) applications in the health care sector and medical assistance in
dying (e.g. physician-assisted suicide and euthanasia), including:
(1) Is there a role for robotic systems/AI to play in the
orchestration or delivery of assisted dying?; (2) Can the use of
robotic systems/AI make the orchestration of assisted dying more
ethical?; and (3) What insights can be generated in the ethical
debate on physician assisted suicide and euthanasia from considering
the prospect of robotic systems/AI assisting with the provision of or
providing assistance in dying? The prospect of including robotic
systems/AI in the context of assisted dying provides opportunity to
revisit longstanding philosophical and ethical issues under new
light. Indeed, reflecting on these questions may invigorate debate,
for example in reconsidering the de-medicalization of assisted dying,
reconsidering whether assisted dying is within the proper scope of
medicine, and reconsidering which normative approach to the ethics of
assisted dying is the most appropriate.
(Related?)
https://www.proquest.com/openview/ee32d2265d533bbd31288055a135e719/1?pq-origsite=gscholar&cbl=40767
You're
Only Mostly Dead: Protecting Your Digital Ghost from Unauthorized
Resurrection
Unenforcable.
https://link.springer.com/article/10.1007/s13347-023-00616-9
The
Right Not to Be Subjected to AI Profiling Based on Publicly Available
Data—Privacy and the Exceptionalism of AI Profiling
Social
media data hold considerable potential for predicting health-related
conditions. Recent studies suggest that machine-learning models may
accurately predict depression and other mental health-related
conditions based on Instagram photos and Tweets. In this article, it
is argued that individuals should have a sui generis right not to be
subjected to AI profiling based on publicly available data without
their explicit informed consent. The article (1) develops three
basic arguments for a right to protection of personal data trading on
the notions of social control and stigmatization, (2) argues that a
number of features of AI profiling make individuals more exposed to
social control and stigmatization than other types of data processing
(the exceptionalism of AI profiling), (3) considers a series of other
reasons for and against protecting individuals against AI profiling
based on publicly available data, and finally (4) argues that the EU
General Data Protection Regulation does not ensure that individuals
have a right not to be AI profiled based on publicly available data.
Another
impossible goal?
https://www.researchgate.net/profile/Haffaz-Aladeen/publication/369011222_Eliminating_Bias_in_News_The_Promise_of_AI-Powered_Journalism/links/6403aa490cf1030a567117ed/Eliminating-Bias-in-News-The-Promise-of-AI-Powered-Journalism.pdf
Eliminating
Bias in News: The Promise of AI-Powered Journalism
Eliminating
bias in news reporting is a critical challenge for journalism, as it
affects the public’s trust in the media and its ability to make
informed decisions. With the advent of artificial intelligence (AI),
there is an opportunity to enhance news reporting by eliminating bias
and providing objective and accurate information. This paper
explores the promise of AI-powered journalism in eliminating bias in
news and enhancing the quality of news reporting. First, we review
the current state of bias in news reporting and its impact on public
perception. We then discuss the potential of AI-powered journalism
in reducing bias by analyzing large amounts of data and detecting
patterns and trends. We also discuss how AI can be used to
personalize news content and increase reader engagement without
sacrificing accuracy or impartiality.
We
also examine the challenges and limitations of using AI in
journalism, including the potential for algorithmic bias and the need
for human oversight. Additionally, we discuss ethical concerns
related to the use of AI in journalism, such as privacy and
accountability. Finally, we provide examples of successful
AI-powered journalism initiatives and explore potential future
developments in the field. We argue that AI-powered journalism has
the potential to significantly improve the quality of news reporting
and restore public trust in the media by eliminating bias and
providing objective, accurate, and personalized news content.
However, achieving this goal will require ongoing research and
development, as well as a commitment to ethical and transparent
practices.
Let
the debate begin! (If not now, when?)
https://www.thestar.com.my/tech/tech-news/2023/03/12/opinion-is-it-time-to-start-considering-personhood-rights-for-ai-chatbots
Opinion:
Is it time to start considering personhood rights for AI chatbots?
… Right
now, few consciousness scientists claim that AI systems possess
significant sentience. However, some leading theorists contend that
we already have the core technological ingredients for conscious
machines. We are approaching an era of legitimate dispute about
whether the most advanced AI systems have real desires and emotions
and deserve substantial care and solicitude.
The
AI systems themselves might begin to plead, or seem to plead, for
ethical treatment. They might demand not to be turned off,
reformatted or deleted; beg to be allowed to do certain tasks rather
than others; insist on rights, freedom and new powers; perhaps even
expect to be treated as our equals.
In
this situation, whatever we choose, we face enormous moral risks.
(Related)
https://scholarship.law.vanderbilt.edu/jetlaw/vol25/iss1/5/
A
Compulsory Solution to the Machine Problem: Recognizing Artificial
Intelligence as Inventors in Patent Law
Artificial
Intelligence (AI) is already disrupting and will likely continue to
disrupt many industries. Despite the role AI already plays, AI
systems are becoming increasingly powerful. Ultimately, these
systems may become a powerful tool that can lead to the discovery of
important inventions or significantly reduce the time required to
discover these inventions. Even now, AI systems are independently
inventing. However, the resulting AI-generated inventions are unable
to receive patent protection under current US patent law. This
unpatentability may lead to inefficient results and ineffectively
serves the goals of patent law.
To
embrace the development and power of AI, Congress
should grant patents, subject to a compulsory license, to AI-created
inventions. Though the AI systems themselves do not need
the same incentive that a human or corporation does to engage in the
inventorship process, the prospect of patent protection can encourage
the use of AI in the first place. AI is already a valuable tool in
the innovative process, and its power may only grow with increased
sophistication. Because US
patent law seeks to incentivize innovation, its goals are best served
by embracing AI inventorship.
Something
new. Can you talk a good game?
https://www.marktechpost.com/2023/03/12/roadmap-of-becoming-a-prompt-engineer-2023/
Roadmap
of Becoming a Prompt Engineer (2023)
A
prompt is a set of input text or instructions used to guide AI models
like ChatGPT, DALLE-2, etc., toward generating desired outputs. In
other words, a prompt is a specific text that prompts an AI model to
create an outcome that aligns with certain criteria or parameters.
Prompt
engineering is the process of creating and refining these prompts to
generate the desired result. The goal of prompt engineering is to
create accurate and effective prompts. Prompt
engineers program in prose and send the plain text
commands to the AI model, which does the actual work.
A
more technical area of prompt engineering is fine-tuning the input
data used to train AI models. It involves carefully selecting and
structuring the input data to maximize its usefulness for training
the model.
Resource.
https://www.businessinsider.in/education/news/chatgpt-10-courses-that-will-help-you-use-the-technology-better/slidelist/98537239.cms
ChatGPT:
10 courses that will help you use the technology better.
Resource?
https://cps.uga.edu/index.php/data-science-and-ai-seminars/
Data
Science and AI Seminars
The
University of Georgia (UGA) Data Science and AI Seminars are monthly
online seminars that cover interdisciplinary research topics in data
science (DS), artificial intelligence (AI), statistics, engineering,
biomedical informatics, and public health.
Speaker:
Tom
Griffiths (Henry
R. Luce Professor of Information Technology, Consciousness and
Culture Departments of Psychology and Computer Science, Princeton
University)
Title:
Understanding human intelligence through human limitations
Date/Time:
Monday,
March 13, 2022, 12 pm – 1:30 pm.
Zoom
Link:
https://zoom.us/j/6334507957
(Also
in-person at UGA Driftmier 1240)