This article discusses the importance of integrating responsible AI practices with security measures, particularly within organizations like Grammarly. It emphasizes treating responsible AI as a product principle, securing the AI supply chain, and the interconnectedness of responsible AI and security. It also touches on the future of AI customization and control.
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The LinkedIn article, “Leading With Trust: When Responsible AI and Security Collide,” by Grammarly’s CISO Sacha Faust, argues that responsible AI isn’t just an ethical or compliance issue, but a critical security imperative.
**Key takeaways:**
* **Responsible AI as a Product Principle:** Organizations should integrate responsible AI into product design, asking questions about values alignment, employee enablement, and proactive risk identification.
* **Secure the AI Supply Chain:** Organizations must trace AI model origins, evaluate vendors, and control key components (moderation, data governance, deployment) to mitigate risks.
* **Blur the Lines:** Responsible AI and AI security are intertwined – security ensures systems *work* as intended, while responsible AI ensures they *should* behave a certain way.
* **Certification & Transparency:** Frameworks like ISO/IEC 42001:2023 can signal commitment to AI governance and build trust.
* **Future Focus: Customization vs. Control:** Leaders need to address policies and safeguards for increasingly customized and autonomous AI systems, balancing freedom with oversight.
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The LinkedIn article, “Leading With Trust: When Responsible AI and Security Collide,” by Grammarly’s CISO Sacha Faust, argues that responsible AI isn’t just an ethical or compliance issue, but a critical security imperative.
**Key takeaways:**
* **Responsible AI as a Product Principle:** Organizations should integrate responsible AI into product design, asking questions about values alignment, employee enablement, and proactive risk identification.
* **Secure the AI Supply Chain:** Organizations must trace AI model origins, evaluate vendors, and control key components (moderation, data governance, deployment) to mitigate risks.
* **Blur the Lines:** Responsible AI and AI security are intertwined – security ensures systems *work* as intended, while responsible AI ensures they *should* behave a certain way.
* **Certification & Transparency:** Frameworks like ISO/IEC 42001:2023 can signal commitment to AI governance and build trust.
* **Future Focus: Customization vs. Control:** Leaders need to address policies and safeguards for increasingly customized and autonomous AI systems, balancing freedom with oversight.
Grammarly has achieved ISO/IEC 42001:2023 certification, demonstrating its commitment to responsible AI development and deployment, focusing on security, transparency, and alignment with human values.
This article details how Coda and Grammarly integrate to improve team workflows, communication, and overall productivity. It highlights features like Coda's all-in-one workspace, AI assistance, and Grammarly's AI-powered writing tools for clarity, branding, and insight.
Grammarly is a cloud-based typing assistant that checks spelling, grammar, punctuation, clarity, engagement, and delivery mistakes. It can also detect plagiarism and suggest edits. The tool is available in Free, Premium, and Business versions and can be customized for tone, formality, and professional relevance.
Grammarly Inc., maker of AI-powered writing software, is acquiring productivity startup Coda, and will also bring Coda CEO Shishir Mehrotra to take over as Grammarly's CEO.
Grammarly has introduced new ROI tools to measure the impact of AI in communication, addressing a key challenge in quantifying AI's value for organizations.
These tools include the Effective Communication Score and ROI Report, which measure communication correctness, efficiency, brand compliance, and inclusivity, offering customizable insights tied to business outcomes.
Databricks' case study exemplifies the tools' potential, showing significant time and cost savings, including $1.4 million annually, by integrating Grammarly across multiple teams, highlighting the tangible benefits of Grammarly's AI-driven communication improvements.
These tools include the Effective Communication Score and ROI Report, which measure communication correctness, efficiency, brand compliance, and inclusivity, offering customizable insights tied to business outcomes.
Databricks' case study exemplifies the tools' potential, showing significant time and cost savings, including $1.4 million annually, by integrating Grammarly across multiple teams, highlighting the tangible benefits of Grammarly's AI-driven communication improvements.
Grammarly has been recognized by Gartner as an Emerging Leader in the "Emerging Market Quadrant™ for Generative AI Technologies." Grammarly's AI assistant helps millions of professionals and over 70,000 teams improve productivity, streamline workflows, and foster innovation. The company's AI is built on extensive machine learning experience, patented technology, and feedback from millions of users, with 96% of users reporting it as essential for their best work. Grammarly's enterprise-grade secure communication AI and features like snippets and brand tones help balance efficiency and polish. Major companies, such as Salesforce, Equinix, Atlassian, and Databricks, use Grammarly to increase productivity and save time. Customers appreciate Grammarly's ability to enhance communication, maintain consistency, and save time, representing their brands professionally. Grammarly continues to set new standards for AI in the workplace.
Grammarly, the popular writing assistant, is launching a new tool to help detect AI-generated text. The move comes as concerns grow about the potential misuse of AI writing assistants.
A recent TechRadar poll found that Grammarly has emerged as a surprise hit among AI tools, with 584 monthly users. ChatGPT remains the most popular tool, while Microsoft Copilot and Google Gemini also showed strong results.
