Published on April 17, 2024, 9:13 pm

Vero AI, a cutting-edge analytical engine and scoreboard tailored to assist businesses in maximizing the potential of advanced technologies like artificial intelligence while mitigating risks, recently unveiled its inaugural report named “Generating Responsibility: Assessing AI Using AI.” The report, meticulously crafted by Vero AI’s specialists who developed the VIOLET Impact Model™, offers a thorough evaluation with quantifiable scores of ten leading generative AI models. These assessments aim to aid enterprises in gauging how well these tools adhere to responsible AI standards set by Vero AI.

As quoted by Eric Sydell, PhD., CEO and co-founder of Vero AI, “As generative AI continues to rapidly evolve, organizations are increasingly challenged to grasp its benefits and potential risks. To fully harness AI in a responsible manner, especially with the emergence of new AI regulations, a broad approach accompanied by a scientific method of measuring AI systems at scale is needed.”

Employing their state-of-the-art analytical engine Iris™ along with expert human input, Vero AI meticulously scrutinized publicly available information on popular LLMs and generative models such as Google’s Gemini, Open AI’s GPT-4, and Meta’s LLAMA2. Scores were assigned based on key elements of the VIOLET Impact Model including Visibility, Integrity, Optimization, Legislative Preparedness, Effectiveness, and Transparency.

The results showcased varying strengths and weaknesses among the evaluated generative AI models against the set criteria. While these models strive for responsible practices in AI development, there is evidently room for improvement towards achieving optimal transparency and evaluation.

For companies considering integrating AI into their operations responsibly based on global ethical standards and regulations across diverse cultural landscapes while prioritizing business efficacy alongside human interests —VIOLET enables this harmonization.

Responsible implementation of AI ensures fair and beneficial utilization of artificial intelligence technology globally. It propels equitable outcomes for all humankind. To foster this ethos within organizations contemplating adopting AI technologies into their workflows effectively:

1. Integrate global best practice frameworks
2. Follow prevailing legislations from various regions
3. Uphold scientific principles
4. Strive for balanced business effectiveness intertwined with human-centered values

Amidst an era where efficiency reigns supreme across different industries like clinical development revolutionized by decentralized trials (DCT) emphasizing remote data collection through wearables; it’s imperative that organizations prioritize streamlined approaches like Elastic architecture supported by Pure Storage solutions.


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