Pioneering research on the path to AGI
Transforming work and creativity with AI
Offering API platform with latest models
Deep understanding of potential risks and benefits of AI
Developing safe and beneficial AI
Activazon, Frontier Model Forum, GOODY-2, OpenAI, DearReal, SWMS AI, Checkstep, Punya AI, Anthropic, Driver•i AI Fleet Camera System are the best paid / free AI Safety tools.
AI Safety refers to the field of research and practices aimed at ensuring the development and deployment of AI systems that are safe, reliable, and beneficial to humanity. It involves addressing potential risks and challenges associated with AI, such as unintended consequences, misuse, and the alignment of AI systems with human values and ethics.
Core Features
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Price
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How to use
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OpenAI | Pioneering research on the path to AGI | To use OpenAI, you can explore their API platform that offers access to their latest models and guides for safety best practices. You can also join OpenAI in shaping the future of technology by exploring job opportunities in various disciplines and backgrounds. | |
Anthropic | Advanced reasoning | Visit claude.ai to interact with Claude, analyze images, and process long documents. For developers and businesses, API access is available to build on top of the AI infrastructure. | |
Aura | Financial fraud protection | To use Aura, simply sign up for an account and choose a suitable protection plan. Once enrolled, the platform will activate protection features, such as financial fraud protection, identity theft protection, VPN and online privacy, antivirus, password manager and smart vault, parental controls and safe gaming, and spam call protection. Aura also provides resources, customer service, and expert fraud support to ensure a seamless user experience. | |
Synthesia | AI avatars: Choose from over 140 diverse AI avatars to create your videos | To use Synthesia, simply generate your script, customize the video with AI avatars and voiceovers, collaborate with your team if needed, and then share, download, or embed the video. The platform offers easy updates and integration with other tools for seamless video creation. | |
Tabnine | Some of the core features of Tabnine include: - Best in class code completion - Autocomplete lines of code - Suggests full function completion - Generates blocks of code based on natural language comments - Parse files and perform various code-related tasks - Can be customized to match your coding style and best practices - Provides maximum value to your development team - Runs in a fully isolated mode to ensure security and privacy - Gives you control over your Intellectual Property - Can be centrally configured and enforced across your organization | To use Tabnine, simply install and integrate it with your preferred IDE. Once integrated, Tabnine will provide code completion suggestions, generate blocks of code based on natural language comments, parse files, and perform various other code-related tasks. It is a context-aware AI assistant that can be used to generate code, improve existing code, and even translate code between programming languages. | |
Driver•i AI Fleet Camera System | Driver Self Coaching |
Basic $299 per vehicle per year Includes basic features and access to the Driver•i platform.
| Transform road and fleet safety by using advanced vision technology to change the way drivers interact with the road around them. |
Testportal: Online assessment platform | Skills and Knowledge Assessment | Create online tests, quizzes, and exams using Testportal's easy-to-use platform. Customize the assessments to your needs and generate AI-generated questions. Receive detailed reporting and automated feedback for efficient evaluation. | |
Inworld | Multimodal expression of personality | To use Inworld, developers can integrate the Character Engine into their real-time applications and games. They can configure distinct personalities and contextual awareness for their AI NPCs using natural language and simple controls. Inworld provides APIs and integrations for popular game engines, making it easy to build AI-driven NPCs. The platform offers advanced behavior modeling, including conversation, voice, animations, and emotions, allowing developers to create immersive and interactive experiences. | |
Xenonstack | Enterprise Data Strategy | Xenonstack provides services such as custom software development, platform engineering, enterprise DevOps, intelligent enterprise automation, cloud migration, application modernization, data warehouse, internet of things, business intelligence, and more. Users can leverage Xenonstack's solutions to optimize and scale their applications, develop resilient and robust applications, and gain actionable insights through data analytics. | |
Typeface | Generative AI content creation | To use Typeface, simply sign up for the app and gain access to its features. Once you're logged in, you can create personalized content for your brand by selecting from pre-designed templates or creating your own. You can customize the content based on your brand's voice and style, and easily integrate it into your workflows by using the built-in tools. Typeface also ensures brand safety and control, allowing you to protect your company's assets and maintain consistent representation. |
In the healthcare industry, AI Safety practices ensure that AI-assisted diagnosis and treatment recommendations are accurate, reliable, and do not cause unintended harm to patients.
In the automotive industry, AI Safety principles guide the development of autonomous vehicles, ensuring they operate safely and reliably in various road conditions and scenarios.
In the financial sector, AI Safety measures help prevent AI-driven trading systems from causing market instability or engaging in unethical practices.
Reviews of AI Safety practices and initiatives are generally positive, with experts and stakeholders recognizing the importance of addressing potential risks and challenges associated with AI. However, some critics argue that current efforts may not be sufficient to keep pace with the rapid advancement of AI technologies and that more proactive measures are needed to ensure the safe and responsible development of AI. Overall, there is a growing consensus that AI Safety is a critical issue that requires ongoing attention and collaboration from all stakeholders involved in the development and deployment of AI systems.
A user interacts with an AI-powered virtual assistant that has been designed with AI Safety principles, ensuring that the assistant provides accurate, unbiased, and safe recommendations.
An individual uses an AI-powered healthcare app that has undergone rigorous testing and validation to ensure patient safety and privacy.
A customer uses an AI-powered financial management tool that has been developed with transparency and accountability measures to prevent unintended biases or errors.
To implement AI Safety practices, organizations and researchers should: 1) Establish clear guidelines and principles for the responsible development and use of AI; 2) Conduct thorough risk assessments and testing to identify potential hazards; 3) Ensure transparency and interpretability of AI models and decision-making processes; 4) Engage in multi-stakeholder collaboration to address ethical and societal implications; 5) Continuously monitor and assess the impact of AI systems in real-world applications.
Reducing the risk of unintended consequences and harm caused by AI systems
Enhancing public trust and confidence in AI technologies
Promoting the responsible and beneficial development of AI for society
Enabling the safe and effective deployment of AI in various domains, such as healthcare, transportation, and finance
Fostering a culture of ethics and responsibility within the AI community