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If we’re going to deploy AI Into the fabric of society, it’s critical that we do so with eyes wide open. AI is exactly that — artificial. Its purpose is to relieve brainpower and to help solve problems that humanity struggles to tackle through that’s possible in our collective brainpower alone. Here are 7 stories to help you stay connected to the bigger picture.
1. Justice department beefs up focus on artificial intelligence enforcement, warns of harsher sentences
Source: AP News
The Justice Department is intensifying its attention on artificial intelligence, cautioning that individuals and businesses exploiting AI for white-collar crimes like price fixing or fraud will face stricter penalties. Deputy Attorney General Lisa Monaco emphasized that the department will evaluate corporate compliance programs based on how effectively they address AI-related risks, aiming to detect and prevent misconduct while ensuring legal adherence among executives and employees.
2. Musk’s lawsuit against OpenAI sparks heated debate over AI’s transparency
Source: Forbes
The recent legal clash between Elon Musk and OpenAI, which originally focused on Musk's contributions, has become more existential. It has shifted from a mere disagreement over usage rights to a profound discussion about transparency and the trajectory of artificial intelligence. The lawsuit, highlighted just days ago, has swiftly morphed into a pivotal moment prompting a wider discourse on the fundamental principles that should shape the evolution of sophisticated AI systems.
3. How We Can Control AI
Source: Wall Street Journal
Contemporary large language models, the cornerstone of artificial intelligence, represent remarkable feats of human ingenuity. However, their extraordinary language proficiency and vast knowledge base are underpinned by substantial investments of data, resources, and time, often exceeding $100 million for development and necessitating months of meticulous testing and enhancement through both human and machine efforts. These models undergo iterative refinement processes, honed through millions of iterations, aimed at enhancing their accuracy in providing "correct answers" to queries.
Despite these advancements, encoding human values remains a challenging task. Former Google CEO Eric Schmidt elaborates on this problem in this article.
4. AI is the talk of the town, but businesses are still not ready for it, survey shows
Source: CNBC
A recent survey conducted by MIT Technology Review Insights and Telstra, involving over 300 business leaders globally, highlighted several key obstacles hindering widespread adoption. These barriers include concerns about data privacy, regulatory compliance, and the adequacy of IT infrastructure. Alarmingly, the survey found that only a mere 9% of respondents reported significant utilization of AI within their organizations.
5. UNESCO finds ‘pervasive’ gender bias in generative AI tools
Source: CIO
A recent report from UNESCO’s International Research Centre on Artificial Intelligence reveals that generative AI outputs continue to exhibit significant biases related to gender and sexuality. These biases manifest in various ways, such as associating feminine names with traditional gender roles and generating negative content concerning gay subjects. This underscores the ongoing challenge of mitigating bias in AI-generated content.
6. AI cannot be an inventor
Source: LSJ
In the case of Thaler v Comptroller-General of Patents, Designs and Trade Marks [2023] UKSC 49, commonly referred to as the 'Thaler UK decision,' the UK Supreme Court affirmed the deemed withdrawal of a patent application that designated an artificial intelligence (AI) system as the inventor. This ruling represents the most recent setback for Dr. Steven Thaler, a computer scientist known for submitting comparable applications and initiating strategic legal actions across multiple jurisdictions.
7. A generative AI reset: Rewiring to turn potential into value in 2024
Source: McKinsey
The initial excitement and flurry of activity surrounding GenAI are now being met with second thoughts and adjustments as companies grapple with the challenges of harnessing its vast potential value. As 2024 emerges as a critical year for generative AI to demonstrate its worth, companies must heed the lessons gleaned from past digital and AI transformations. They should recognize that true competitive advantage stems from cultivating organizational and technological capabilities to innovate, deploy, and enhance solutions on a broad scale. Essentially, this entails restructuring the business for distributed digital and AI innovation.
Keeping track of global GenAI compliance standards
Periodically, Sema publishes a no-cost newsletter covering new developments in Gen AI code compliance. The newsletter shares snapshots and excerpts from Sema’s GenAI Code compliance Database. Topics include recent highlights of regulations, lawsuits, stakeholder requirements, mandatory standards, and optional compliance standards. The scope is global.
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About Sema Technologies, Inc.
Sema is the leader in comprehensive codebase scans with over $1T of enterprise software organizations evaluated to inform our dataset. We are now accepting pre-orders for AI Code Monitor, which translates compliance standards into “traffic light warnings” for CTOs leading fast-paced and highly productive engineering teams. You can learn more about our solution by contacting us here.
Disclosure
Sema publications should not be construed as legal advice on any specific facts or circumstances. The contents are intended for general information purposes only. To request reprint permission for any of our publications, please use our “Contact Us” form. The availability of this publication is not intended to create, and receipt of it does not constitute, an attorney-client relationship. The views set forth herein are the personal views of the authors and do not necessarily reflect those of the Firm.
