Sunday, March 12, 2023

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)



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