The Changing Expectations for Developers in an AI-Coding Future

August 13, 2024 at 10:08AM Software engineers are facing a future where generative AI will diminish traditional code writing, emphasizing security and collaboration. Despite enthusiasm for AI tools, a Snyk survey found developers overlook security issues, risking insecure code. Developers’ future jobs will involve guiding AI’s code generation, ensuring security, and educating teams. Successful transition … Read more

Unfounded Fears: AI Extinction-Level Threats & the AI Arms Race

June 28, 2024 at 10:07AM Reports on AI’s potential catastrophic risks need to be handled responsibly. The lack of scientific evidence and the absence of thorough comprehension of AI’s underlying technology undermine the credibility of such reports. It is crucial for businesses and organizations to proactively monitor regulations related to AI development and focus on … Read more

Google’s AI Watermarks Will Identify Deepfakes

May 16, 2024 at 08:42AM Google introduced AI-related security measures at the Google I/O developer conference, including invisible watermarking of AI-generated content to prevent misuse and spread of misinformation. The company unveiled new AI models, Veo and Imagen 3, along with AI red-teaming techniques to improve model security. These initiatives aim to address risks and … Read more

Tech Companies Sign Accord to Combat AI-Generated Election Trickery

February 18, 2024 at 08:27AM Major tech companies, including Adobe, Amazon, Google, IBM, Meta, Microsoft, OpenAI, and TikTok, have signed a pact to prevent AI tools from disrupting democratic elections. The accord aims to address deceptive AI-generated content through detection and labeling methods, but some advocates find its commitments to be vague and lacking in … Read more

5 AI Priorities to Stay Competitive

February 8, 2024 at 01:02PM The potential of artificial intelligence (AI) to transform the way we work and live is widely recognized. However, there is a need for responsible and strategic implementation. Key priorities for 2024 include addressing the gap between AI advancements and regulations, mitigating bias, strengthening explainability, developing AI talent, and embedding AI … Read more