AI's moral parameters: Setting boundaries and assuming obligations in the application of AI for content fabrication
Generative AI, a cutting-edge technology, is revolutionising content creation by generating text, images, and audio. However, its use comes with ethical considerations that need to be addressed to ensure responsible and transparent content production.
Transparency and Disclosure
California's AI Transparency Act (SB 942) requires generative AI systems producing audio, video, or image content to disclose that the content is AI-generated and implement detection tools for systems with over one million monthly users in California. This transparency helps users identify AI-generated content and avoid deception.
Copyright and Intellectual Property
Ethical AI regulation must address copyright infringement concerns arising when AI models are trained on copyrighted works without permission. Until legal clarity improves, users and developers are encouraged to respect copyright laws and carefully consider the source of training data.
Data Privacy Protection
Generative AI often uses large datasets containing personal and sensitive data, sometimes obtained without consent. Ethical use requires the ability for users to opt out of data being used for model training and strict privacy controls to prevent misuse or exploitation of user inputs.
Content Traceability and Watermarking
Emerging solutions include embedding digital labels or watermarks in AI-generated content for traceability. Although challenging due to jurisdictional differences, these measures can mitigate misuse, fraud, and academic dishonesty by allowing content origin verification.
Bias Mitigation and Content Verification
Ethical frameworks encourage users to verify the credibility of AI outputs and actively address possible biases embedded through the training data or model design. Consideration of environmental impacts is also recommended as part of ethical AI use choices.
The Role of Companies and Platforms
Companies need to understand the limitations and ethical responsibilities of using generative AI to avoid business risks and potential legal violations. A human review of the AI's output for bias, ethical correctness, and tone is essential.
In the context of a platform video maker, generative AI can write scripts for explainer videos, illustrate them according to the text, and create a voice-over. The platform supports content creation by generating text, images, and audio tracks responsibly, ensuring data transmission only once and adhering to strict privacy controls.
The Future of AI Regulation
The European Union is working on the AI Act, aiming to regulate the use of AI in a way that respects fundamental rights. IBM and other leading companies are taking steps to use AI responsibly internally, setting examples for ethical AI practices.
In conclusion, the ethical use of generative AI involves reviewing it with an empathetic and watchful eye. By implementing transparency requirements, copyright protections, data privacy safeguards, content traceability, and addressing biases, we can create a more responsible and ethical landscape for generative AI content creation. The regulatory landscape is still evolving, with ongoing debates and pending legislation shaping the best practices for ensuring ethical content creation with generative AI.
[1] California Legislative Information. (2021). SB 942. Retrieved from https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202120220SB942 [2] European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on artificial intelligence (Artificial Intelligence Act). Retrieved from https://ec.europa.eu/info/publications/proposal-regulation-european-parliament-and-council-laying-down-harmonised-rules-artificial-intelligence-artificial-intelligence-act_en [3] European Parliament. (2021). Report on Artificial Intelligence (2019/2020). Retrieved from https://www.europarl.europa.eu/doceo/document/A-9-2021-0012_EN.html [4] European Parliament. (2019). Resolution on Artificial Intelligence (2018/2250(INL)). Retrieved from https://www.europarl.europa.eu/doceo/document/A-8-2019-0030_EN.html [5] European Commission. (2021). White Paper on Artificial Intelligence - A European Approach to Excellence and Trust. Retrieved from https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en
Video makers utilizing generative AI can create explainer videos by generating scripts, illustrating the content, and producing voice-overs with artificial-intelligence technology. This video maker ensures transparency by disclosing that the content is AI-generated and implements detection tools for systems with over one million monthly users in California.
Ethical AI frameworks encourage the verification of AI outputs' credibility, addressing potential biases embedded through training data or model design, and considering environmental impacts. The European Union is working on the AI Act, which aims to regulate the use of AI in a way that respects fundamental rights, and IBM, amongst other leading companies, is taking steps to use AI responsibly internally, setting examples for ethical AI practices.
