As AI advances rapidly, concerns over its potential misuse and unintended harmful consequences have become increasingly prevalent. A new class of licenses has emerged: Responsible AI Licenses (RAIL). These licenses aim to balance fostering innovation and preventing AI models' unethical or dangerous applications. RAIL licenses are designed to allow for the free and open sharing of AI models among those who intend to use and improve them for authorized purposes while imposing restrictions on harmful or unethical uses. By incorporating ethical guidelines directly into the licensing terms, RAIL seeks to promote responsible development and deployment of AI technologies. The RAIL initiative provides a framework and templates for creating these ethical licenses, but it doesn't govern each individual license. Instead, model developers can tailor their RAIL to suit their specific needs and ethical considerations, creating more or less restrictive conditions as they see fit. Typical restrictions found in RAIL licenses may include: 1️⃣ Prohibiting the use of AI models for illegal activities, discrimination, or human rights violations. 2️⃣ Requiring transparency and accountability measures, such as documenting model decisions and enabling audits. 3️⃣ Limiting the use of AI models in high-risk scenarios, such as healthcare or criminal justice, without proper safeguards. 4️⃣ Restricting the use of AI models for surveillance or other privacy-invasive purposes without explicit consent. By adopting RAIL licenses, AI developers can proactively address ethical concerns and demonstrate their commitment to responsible innovation. This not only helps mitigate potential risks but also fosters trust among end-users and stakeholders, which is crucial for the widespread adoption and acceptance of AI technologies. As AI continues to permeate various aspects of our lives, it is imperative that we strike the right balance between innovation and ethical considerations. Responsible AI Licenses (RAIL) offer a promising approach to navigating this complex landscape, empowering developers to harness the power of AI while upholding ethical principles and safeguarding against misuse. Have you encountered RAIL licenses or other ethical considerations in your AI development projects? https://lnkd.in/d2xXvVeB #AppSec #ApplicationSecurity #AI #DevSec #RAIL
Mend.io’s Post
More Relevant Posts
-
Navigating Data Ownership in the AI Age, Part 2: Frameworks ... - JD Supra: Navigating Data Ownership in the AI Age, Part 2: Frameworks ... JD Supra #datagovernance #CDO #finperform
Google News
https://www.jdsupra.com/
To view or add a comment, sign in
-
Is your data AI ready? Embracing GenAI can be challenging and inevitable for individuals and enterprises. Make sure you stay ahead of the curve with proper guidelines and governance. #netapp
Establishing governance for enterprise use of GenAI | NetApp Blog
netapp.com
To view or add a comment, sign in
-
Remember we were all concerned with our Tuna being 'Dolphin Safe"? This is the same thing, but with Data. If IBM's 'net' (all the data we use to train AI) catches a Dolphin (proprietary IP) or a dolphin-shaped tuna (spurious legal complaints), then it will cover the damages. Simple, everyone is saying that. IBM is going a little bit further by protecting customers from the "Slippin' Jimmy"'s of the world by publishing their foundation model data (sort of), essentially raising the bar for a legal challenge from "AI stole & sold my Idea!" to "...the training data in tables 9.3a, 14.45t & 88.1j includes 3 lines that, when taken together, infringe upon..." Which benefits everyone buying or selling AI. Smart move.
IBM Tries to Ease Customers’ Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
IBM’s Foundation Models have arrived with Granite.13b. We are making it easier for clients to adopt Generative AI for business. Three things to know: 1. Granite13.b is trained on domain specific enterprise data including finance, legal, academic, code ---> more precision, more accuracy, better price performance 2. We published the details of our training sets ---> we're committed to transparency and responsible AI 3. We indemnify companies against copyright or other IP just like our products ---> client protection #watsonx #letscreate https://lnkd.in/gnJ6qZhg
IBM Tries to Ease Customers’ Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
Interesting. This article supports what I have preaching for months. Ensure your AI platform of choice has mature governance and governance audit tools to allow you to manage financial, repetitional and business risks. IBM told us weeks ago that were going to offer legal protections with their data models and vetted tools under WatsonX brand. What I found interesting is Microsoft and Adobe are now also offering customers legal/copyright protection of sorts. In all of these, the fine print will be interesting to read. What governance do either of those tools have, how will you provide evidence of the training models and data sets used or your ability to parse out bias, hate, etc? None that I know of. They do not even a governance model for their AI's. Offering protection from lawsuits will be more difficult when you have no governance reports to showcase what data, models and tools you used and how they were trained. Interesting that security is an after thought for most companies. #IBM #WatsonX is the only AI out there bringing robust, mature governance - even vetted models they guarantee and protect you with out of the box. Built in by design. #WatsonX #AIgovernance for the win!
From IBM Research to every corner of @IBM, this is an exciting moment -- meet the IBM Granite #generativeAI models via the watsonx AI and data platform. https://ibm.co/3LHgta9
IBM Tries to Ease Customers' Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
Great article! A must read for everybody who likes to learn more about how IBM is positioned in the AI market. #AI #watsonx #ibm #nytimes
From IBM Research to every corner of @IBM, this is an exciting moment -- meet the IBM Granite #generativeAI models via the watsonx AI and data platform. https://ibm.co/3LHgta9
IBM Tries to Ease Customers' Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
Doer at mind, teacher at heart | AI/ML Engineering, Data Engineering, and Data Science Leader Specializing in Open-Source Technologies
Generative models that go off the rails can leave businesses exposed to embarrassment, legal liability, and everything in between. If you are going to use generative AI in your enterprise and rely on the content it generates, you need to know what kind of data your foundation models are trained on and mitigate the risks that come with using these models. That’s why IBM “will assume the legal risk of businesses that use its A.I. systems and will publish the technology’s underlying data.”
From IBM Research to every corner of @IBM, this is an exciting moment -- meet the IBM Granite #generativeAI models via the watsonx AI and data platform. https://ibm.co/3LHgta9
IBM Tries to Ease Customers' Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
Let’s Create - trusted AI based on the principals of honesty, integrity and of course governance. IBM has being delivering AI tech for over a decade now so don’t scroll on, invest a minute in in the article bellow on IBM’s AI and Hybrid Cloud strategy. ##ibmresearch #ibmwatson #ibmstorage
From IBM Research to every corner of @IBM, this is an exciting moment -- meet the IBM Granite #generativeAI models via the watsonx AI and data platform. https://ibm.co/3LHgta9
IBM Tries to Ease Customers' Qualms About Using Generative A.I.
https://www.nytimes.com
To view or add a comment, sign in
-
AI is transforming the world, but it also comes with challenges and risks. How can we ensure that AI is used responsibly and ethically? Microsoft has launched an AI Assurance Program to help customers create and deploy AI applications that meet legal and regulatory requirements for responsible AI. In this article, Antony Cook, corporate vice president and deputy general counsel at Microsoft, explains the core commitments, elements and benefits of this initiative. He also discusses how Microsoft is collaborating with partners, customers, governments and regulators to promote effective and interoperable AI governance. If you are interested in learning more about Microsoft’s vision and actions for responsible AI, check out this article: https://lnkd.in/ef-DWKXE #Microsoft #ResponsibleAI #AI #CustomerCommitments #MSadvocate #Copilot
Microsoft’s Antony Cook discusses simplifying AI responsibility
technologyrecord.com
To view or add a comment, sign in
30,754 followers