How Can You Make AI Ethical?

Approximately 96% of AI decision-makers in the entertainment and media industries intend to spend more money on generative AI technologies (Variety).

AI's capabilities grow, the industry must address important ethical issues to prevent serious predicaments.

Root Issues To Address

Accountability & Bias:

When using any AI platform, users need to be aware if the information or images shared will be stored for further machine learning.

There is a need for diverse data sets to monitor for bias to ensure equity and fairness.

Privacy & Safety:

Individuals are vulnerable to exposure, and potential identity threats when using AI. Privacy policies need to be continuously reviewed to reflect AI advancements.

How Can Creative Productions Implement Ethical AI?

-> Commit to Transparency

Openly share the role of AI in your content creation in the credits.

-> Prioritise Consent and Privacy

Consent should be given upon scanning anybody for content creation. Additionally, those who do get scanned for generative AI should receive compensation based on usage and a fair contract.

-> Continuous Review

As AI evolves, so should ethical frameworks. Regular reviews could prevent legal risks which could create reputational damage.

Ethical considerations are not only about avoiding harm, but fostering trust, and upholding innovation responsibly.

It is always good to lead by example creating trustworthy and ethical frameworks around innovation.

Click the button to learn how our 'Eyes On Production' survey leverages the captured data points to steer your decision-making process.

Sources:

https://variety.com/2023/digital/features/hollywood-ai-crisis-atificial-intelligence-eliminate-acting-jobs-1235697167/

***This is advice only. Always ask a consultant.