Ethics
AI ethics navigates responsible development, bias mitigation, transparency, and societal impact for technology advancements.
October 20, 2023
Authored: By Jesutofunmi A. Omiye, Jenna C. Lester, Simon Spichak, Veronica Rotemberg & Roxana Daneshjou
Published: npj Digital Medicine
Summary: The study investigates the potential propagation of harmful, race-based medical content by four commercially available large language models (LLMs) in healthcare scenarios. The LLMs, including ChatGPT and GPT-4, displayed instances of perpetuating race-based medicine and inconsistencies in responses. Questions about kidney function and lung capacity revealed problematic race-based answers. The study emphasizes the risk of LLMs amplifying biases and causing harm in healthcare, urging caution in their use for medical decision-making. The need for further evaluation, transparency, and addressing potential biases before clinical integration is emphasized.
October 13, 2023
Authored: Jovana Davidovic & Milton Regan
Published: BABL.AI
Summary: This report discusses the importance of preparing for war (jus ante bellum) by developing and deploying AI-enabled weapon systems in a way that minimizes unjust resort to war and unjust fighting during war. It highlights the need for rigorous testing, evaluation, validation, and verification (TEVV) of AI-enabled weapons, along with a gradual fielding approach, clear operational guidelines, and adequate explainability. It also addresses the potential security dilemma in an AI arms race and recommends confidence-building measures and a careful approach to war preparedness.
October 5, 2023
Authored: by Tomoko Yokoi & Michael R. Wade
Published: Institute for Management Development
Summary: The rapid development and adoption of AI have raised ethical concerns, and many organizations are committing to responsible AI principles, including transparency, fairness, non-harm, accountability, and privacy. To apply these principles, organizations adopt governance structures, such as internal committees or external advisory boards. Education programs help employees understand and implement AI ethics. To evaluate AI systems, mechanisms like ethics certification and audits are emerging. A holistic approach combining governance, education, and continuous adaptation to evolving AI ethics standards is crucial for long-term ethical AI development.
Summary: The increasing use of AI, including ChatGPT, poses both opportunities and ethical challenges for the legal profession. Lawyers must ensure their use of AI complies with the California Rules of Professional Conduct. Key ethical considerations include competence in understanding AI’s risks and benefits, communication with clients about AI usage, fees related to AI-assisted work, confidentiality concerns regarding AI tools, and supervision of AI’s role in legal practice. Lawyers should exercise caution, consult technology experts, and diligently review AI-generated work product to uphold ethical standards while benefiting from AI tools.
Summary: The article delves into the implications of rapid advancements in artificial intelligence (AI) and its potential to disrupt various aspects of human life. It raises concerns about the pace of AI development and the impact on creativity and employment. Some argue for increased regulation to ensure AI is used responsibly. The article highlights the growth of AI startups, massive investments in AI, and the rapid rise of the AI industry. It also touches on the gender disparity in AI development. Ultimately, it questions whether we should be embracing AI at this breakneck speed, given the potential risks involved.