The Future of AI in America
The future of AI in America is both promising and complex. Regulations, transparency, and a collective commitment to ethical accountability are key to ensuring …
Topic: Reasonable AI
Beyond the Euphoria: Responsible Use of GenAI
The responsible use of GenAI is not merely a choice; it is an imperative. In the absence of clear regulatory guidelines, businesses should develop a discerning …
Stanford’s 2024 AI Index Report Highlights Key Trends
The 2024 AI Index report aims to provide a detailed overview of AI advancements and their implications. The report is considered essential reading for those …
Trust and Transparency: Consumer Expectations and Concerns in the GenAI Era
Businesses can reap the benefits of GenAI as a competitive differentiator, but only if they understand the implications of transparency and unbiased GenAI and …
The Ethical AI Imperative: How OpenAI is Leading the Way in Responsible Development
In the rapidly evolving landscape of AI, ethical considerations are not mere add-ons but integral components of responsible development. OpenAI promotes …
4 Tips for Addressing the Lurking Threats of Shadow AI
The challenges associated with shadow AI will likely get worse before they get better as the implementation of AI tools is occurring at a faster rate than most …
Meta’s Purple Llama Fosters Responsible Development of Open Gen AI
As the market rapidly embraces AI, there is a need for organizations to foster responsible development and use of generative AI.
Why Companies Shouldn’t Overlook the Role of Open Source
AI and other innovation areas are drawing government regulatory interest. To avoid problems, the tech industry is taking proactive measures to set its own …
How to Make Generative AI Work for Industry
Risk-averse industries must address concerns about hallucinations, security, and privacy before they can confidently embrace generative AI. Here are some tips …
Considerations and a Blueprint for Responsible AI Practices after a Year of ChatGPT
Responsible AI requires that organizations address process, technology, people, and governance issues, according to speakers at the recent AI