AI Policies

AI’s has the potential for disruption, for displacement, for creation, and destruction - That truly can’t be ignored.

We have a duty to explore the boundaries of this technology to unlock new opportunities.

Our team is what makes us awesome: we're curious, full of ideas, tech-savvy, and we like to mix things up. Its literally what we're known for - as problem solvers and creatives.

We're approaching AI across the creative and production landscape.

AI in Content Production

We've been involved with tech and automation right from the beginning, so we're not stopping now - we're infusing machine learning and AI throughout Visual Content Consultancy processes and operation.

 We're committed to this for the long haul. As AI keeps changing our industry landscape, we'll adapt our approach to stay on point.

And while we build these augmented futures, we'll stick true to the craft, creativity, passion and experience that has made content production what it is today.

At the Visual Content Consultancy, we’re conscious that our enthusiastic ambitions in this field are steadied by the critical framework of understanding, transparency, and ethics.

AI maturity in our industry has led to Enterprise-ready AI to become a reality. This is an ethically trained, privacy conscious, controllable landscape that’s wholly known, trained, and licensed appropriately.

 At The Visual Content Consultancy these AI endeavours are divided into three categories:

1. The value of AI

This Responsible AI Usage Policy outlines the principles and guidelines for the ethical and responsible use of Artificial Intelligence (AI) technologies

As we integrate AI into our creative and operational processes, it is essential to ensure that our ML and AI technologies uphold legal, compliance, and ethical standards. Promoting fairness, transparency, and accountability across the business.

2. Ethical & Social Principles

We carefully test any processes and pipelines to avoid unintended consequences from AI behaving in unexpected ways.

We are developing guidelines and standards for ethical AI design is crucial - principles might focus on transparency, accountability, avoiding unfair bias, ensuring human control, and more. 

2.1. Creative Enhancement:

AI technologies will be employed to enhance creative ideation, processes, enrich storytelling, and augment content creation and deployment while respecting the craft, effectiveness, authenticity, and integrity of our work.

2.2. Diversity & Representation:

We will use AI in a way that promotes diverse representation and inclusivity in our application of GenAI, avoiding stereotypes and biases that perpetuate inequities.

2.3. Transparency

AI-generated content will be labelled appropriately to inform our audience when AI has played a role in its creation, ensuring transparency and maintaining trust.

2.4. Responsible Storytelling:

When using AI to analyse and interpret data for storytelling purposes, we will ensure that the narrative aligns with factual accuracy and avoids misrepresentation.

3. Data Privacy & Security

Safeguarding this information from breaches and unauthorized access is paramount. Implementing robust cybersecurity protections, encryption, access controls and following best practices for handling user data is critical.

Additionally, providing transparency around data collection policies and giving users more control over their information through privacy settings aligns with ethical values like informed consent. With growing data vulnerability risks, maintaining trust through strong data privacy and security measures is essential.

Info Collection & Consent

Data used for AI training and analysis will be collected with proper consent, adhering to privacy regulations and respecting individual rights.

Secure data Handling

We will implement robust data security measures to protect sensitive information and prevent unauthorized access to data used in AI applications.

4. Bias Mitigation & Fairness

4.1. Bias Identification: Our AI systems will undergo regular assessments to identify and mitigate biases that may affect content creation or decision-making processes.

4.2. Diverse Training Data: AI models will be trained on diverse datasets to minimize biases and ensure that content reflects a wide range of perspectives and experiences.

5. Transparancy & explainability

5.1. Audience Awareness: Whenever AI-generated content is used, we will provide clear information to our audience, distinguishing between human-created and AI-assisted content.

5.2. Explanation of Decisions: If AI algorithms contribute to content recommendations or production decisions, we will strive to explain the reasoning behind these suggestions in a user-friendly manner.


6. Collaborations

6.1. Industry Collaboration: We will actively engage with external companies, partners (platforms and engines), industry forums, research organizations, and expert contractors to support and inform our latest advancements, developments, and ethical considerations in AI for media creation, production, and distribution.

 6.2. Creative Collaboration: AI will be integrated into our creative process in collaboration with human creators, ensuring that technology enhances artistic expression.

7. Continuous Improvement

This policy will be regularly reviewed and updated to incorporate evolving industry practices, governing legislation, local market compliance, additional ethical concerns, and technological advancements.

By adopting this Responsible AI Usage Policy, The Visual Content Consultancy will utilise and embed the emerging potential of AI into our pipeline, while protecting ethical and moral artistic integrity, commercial intellectual property, and audience trust in our creative process.

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If you're interested in integrating AI into your content pipeline.