#responsible-ai

#responsible-ai

John Snow Labs launched a no-code testing tool to evaluate AI models for bias and fairness, empowering non-technical domain experts. [ more ]

Google unveiled Gemini 1.5 Flash, its most efficient AI model yet, capable of multimodal reasoning and data extraction. [ more ]

Google consolidates generative AI teams to boost development under DeepMind. [ more ]

Generative AI tools can generate misinformation, break copyright law, and perpetuate stereotypes, but humans are responsible for the consequences.

Companies should establish frameworks for ethical and responsible AI use and prioritize fact-checking and obtaining proper rights and permissions for copyrighted material. [ more ]

Generative AI has dominated conversations with customers in Australia and New Zealand in 2023, prompting AWS to shift its agenda.

AWS expects generative AI use cases to graduate to production grade in 2024 and is focusing on integrating responsible AI and building data platforms. [ more ]

Generative AI seen as impactful on social media and search engines. [ more ]

AI ethics are essential for ensuring fairness and responsibility in AI development and implementation. [ more ]

Microsoft highlights responsible AI accomplishments in 2023. [ more ]

2021.AI secures DKK 28M in bridge funding to enhance AI Governance offering and prepare for a larger funding round in Q1 2025. [ more ]

Establishing clear principles, such as fairness, transparency, accountability, and privacy, is the first step in adopting responsible AI. [ more ]

AI governance and risk management strategies are crucial for responsible AI implementation. [ more ]

Brandie Nonnecke has been working in responsible AI governance for nearly a decade.

She is proud of establishing responsible AI principles and governance structure at the University of California. [ more ]

Establish clear principles aligned with organizational values for responsible AI adoption.

Create a robust governance structure that ensures ethical AI implementation. [ more ]

Establishing responsible AI involves clear documentation, bias identification, discrimination avoidance, accountability procedures, data privacy adherence. [ more ]

Data plays a crucial role in AI development, emphasizing accuracy and diversity for effective decision-making processes. [ more ]

Non-technical leaders play a crucial role in integrating responsible AI practices within organizations. [ more ]

Apple highlights responsible AI development for iOS 18 [ more ]

Apple focuses on responsible AI training for reduced hallucinations and safer models. [ more ]

Trust in AI companies has decreased globally, with a significant drop in the U.S.

Emphasis on responsible AI, transparency, and putting control back in users' hands to rebuild trust. [ more ]

The UK government plans to place greater responsibility on existing regulators to oversee AI development and may introduce binding requirements for highly capable AI systems.

The government has announced increased funding for AI, including funding for regulators, research hubs, and projects developing responsible AI solutions. [ more ]

Responsible AI expert Kay Firth-Butterfield expresses caution about the over-reliance on current AI models in healthcare.

Firth-Butterfield has worked on creating frameworks and playbooks to ensure responsible development and use of AI, and advises governments and organizations on implementing AI responsibly. [ more ]

Political leaders are taking notice of the impact of AI, with the US and EU both implementing measures to regulate the technology.

New York City has released a comprehensive AI action plan to guide the responsible use of AI within the city.

The plan addresses factors such as guiding principles, risk assessment standards, and ways to promote knowledge and AI skill development. [ more ]

Generative AI has the potential to revolutionize industries and solve complex problems.

It is important to develop and use generative AI responsibly to mitigate risks.

Microsoft is committed to responsible AI and has measures in place to address potential risks. [ more ]

Meta has disbanded its Responsible AI (RAI) division, with team members being reassigned to other departments.

The disbandment comes after a previous restructuring process and layoffs within the RAI team.

Despite the restructuring, Meta claims it will continue to prioritize and invest in the responsible development of AI. [ more ]

Meta has reportedly disbanded its Responsible AI (RAI) team and is focusing more on generative AI.

Most RAI team members will be moved to the generative AI product team or Meta's AI infrastructure.

The RAI team previously faced restructuring and had little autonomy. [ more ]

AI raises ethical concerns due to human bias and potential harm.

Responsible AI involves developing and using AI systems in a way that benefits society while minimizing negative outcomes. [ more ]

Meta Platforms has split up its Responsible AI team as it diverts more resources to generative AI work.

Most employees from the Responsible AI team will move to Meta's generative AI team, while others will join the AI infrastructure unit. [ more ]

The Pentagon's Chief Digital and Artificial Intelligence Office (CDAO) has released a toolkit on the responsible use of AI technologies.

The toolkit provides a voluntary process to align AI projects with responsible AI best practices and the DOD's ethical principles.

The toolkit was developed with tailoring, internal alignment, holistic evaluation, ethical principles, and risk mitigation in mind. [ more ]

AI technologies like GenAI are plagued by issues such as inaccuracies, bias, toxicity, and hallucinations, potentially harming AI users.

The US government introduced the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence, aimed at ensuring responsible and beneficial AI development and use.

Organizations need to start gathering data on their AI applications now by monitoring them alongside the rest of their tech stack. [ more ]

TRAIN expands to Europe to drive responsible AI in healthcare with key organizations and Microsoft as tech partner. [ more ]

TRAIN network expands to Europe to help healthcare organizations operationalize responsible AI through technology-based guardrails. [ more ]