Interesting. Perhaps AI is coming closer to its hype…
https://www.oneusefulthing.org/p/prophecies-of-the-flood
Prophecies of the Flood
Recently, something shifted in the AI industry. Researchers began speaking urgently about the arrival of supersmart AI systems, a flood of intelligence. Not in some distant future, but imminently. They often refer to AGI - Artificial General Intelligence - defined, albeit imprecisely, as machines that can outperform expert humans across most intellectual tasks. This availability of intelligence on demand will, they argue, change society deeply and will change it soon.
There are plenty of reasons to not believe insiders as they have clear incentives to make bold predictions: they're raising capital, boosting stock valuations, and perhaps convincing themselves of their own historical importance. They're technologists, not prophets, and the track record of technological predictions is littered with confident declarations that turned out to be decades premature. Even setting aside these human biases, the underlying technology itself gives us reason for doubt. Today's Large Language Models, despite their impressive capabilities, remain fundamentally inconsistent tools - brilliant at some tasks while stumbling over seemingly simpler ones. This “jagged frontier” is a core characteristic of current AI systems, one that won't be easily smoothed away
Plus, even assuming researchers are right about reaching AGI in the next year or two, they are likely overestimating the speed at which humans can adopt and adjust to a technology. Changes to organizations take a long time. Changes to systems of work, life, and education, are slower still. And technologies need to find specific uses that matter in the world, which is itself a slow process. We could have AGI right now and most people wouldn’t notice (indeed, some observers have suggested that has already happened, arguing that the latest AI models like Claude 3.5 are effectively AGI1).
New technology, new crimes?
Generative AI and criminal law
Several criminal offenses can originate from or culminate with the creation of content. Sexual abuse can be committed by producing intimate materials without the subject’s consent, while incitement to violence or self-harm can begin with a conversation. When the task of generating content is entrusted to artificial intelligence (AI), it becomes necessary to explore the risks of this technology. AI changes criminal affordances because it creates new kinds of harmful content, it amplifies the range of recipients, and it can exploit cognitive vulnerabilities to manipulate user behavior. Given this evolving landscape, the question is whether policies aimed at fighting Generative AI-related harms should include criminal law. The bulk of criminal law scholarship to date would not criminalize AI harms on the theory that AI lacks moral agency. Even so, the field of AI might need criminal law, precisely because it entails a moral responsibility. When a serious harm occurs, responsibility needs to be distributed considering the guilt of the agents involved, and, if it is lacking, it needs to fall back because of their innocence. Thus, legal systems need to start exploring whether and how guilt can be preserved when the actus reus is completely or partially delegated to Generative AI.
Some good bad examples?
https://commons.allard.ubc.ca/fac_pubs/2793/
Artificial Intelligence & Criminal Justice: Cases and Commentary
When I was given the chance to develop a seminar this year at UBC’s Peter A. Allard School of Law, I jumped at the opportunity to develop something new and engaging. After brainstorming ideas with students, it quickly became evident that there was substantial interest and enthusiasm for a seminar on the growing integration of artificial intelligence and the criminal justice system.
Embarking on this journey has been a steep learning curve for me as my students and I worked together to shape the course along with input from generative AI tools like ChatGPT, Gemini and Perplexity, along with open-source materials from the Canadian Legal Information Institute and the Creative Commons search portal.
Delving into the case law in Canada and the U.S., reading the critical commentary, listening to podcasts and webinars, and playing around with the latest AI tools has been a lot of fun, but also made me realize how crucial it is at this point in time to have a focussed critical exploration of the benefits and risks of AI in the criminal justice context.
I hope that this open access casebook will be a valuable resource for students, instructors, legal practitioners and the public, offering insights into how AI is already influencing various aspects of the criminal justice lifecycle – including criminality and victimization, access to justice, policing, lawyering, adjudication, and corrections. If you’re interested in a quick overview of topics covered in this casebook, you can download the companion: Artificial Intelligence & Criminal Justice: A Primer 2024).
Attempts to be ethical.
The Top 10 AI Ethics Frameworks: Shaping the Future of Artificial Intelligence
The rapid advancement of artificial intelligence (AI) has created unprecedented opportunities and challenges, particularly in addressing ethical concerns surrounding its deployment. At the center of these discussions is the dual focus on enforcing ethical principles through robust regulation and embedding ethics as an intrinsic aspect of AI development. This article critically examines the top 10 AI ethics frameworks, each offering unique principles and guidelines to ensure AI's responsible and equitable impact on society. The frameworks explored range from regulatory models and philosophical paradigms to practical governance structures, reflecting the global effort to align AI innovation with the values of fairness, accountability, transparency, and societal benefit. By analysing their contributions, implications, and limitations, this article provides a comprehensive overview of humanity’s collective endeavour to navigate the ethical complexities of AI and foster technologies that prioritize inclusivity, sustainability, and well-being.
Another opinion…
Explore the business case for responsible AI in new IDC whitepaper
I am pleased to introduce Microsoft’s commissioned whitepaper with IDC: The Business Case for Responsible AI. This whitepaper, based on IDC’s Worldwide Responsible AI Survey sponsored by Microsoft, offers guidance to business and technology leaders on how to systematically build trustworthy AI. In today’s rapidly evolving technological landscape, AI has emerged as a transformative force, reshaping industries and redefining the way businesses operate. Generative AI usage jumped from 55% in 2023 to 75% in 2024; the potential for AI to drive innovation and enhance operational efficiency is undeniable.1 However, with great power comes great responsibility. The deployment of AI technologies also brings with it significant risks and challenges that must be addressed to ensure responsible use.
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