Generated by AI, Owned by... Who?
About Tech Talent Live
The session would be aimed at any type of tech business, or other type of business, that uses AI products - whether that is content creation, interactive legal assistants, text to speech tools, copywriting, document creation, or anything else. We would cover:
- The AI Ownership Conundrum
AI is creating billions of artifacts daily - text, images, code, music. BUT traditional IP frameworks weren't designed for non-human creators.
How can businesses be confident that they own the IP and data in what they create (using these tools) and that they are not infringing third party rights?
- The Current Legal Landscape and Key Stakeholders
Copyright traditionally requires human creativity, patent law demands human inventors. Trade mark protection focuses on consumer confusion. Jurisdictional differences create global compliance challenges.
AI developers claim rights to system outputs, AI developers claim rights to system outputs, prompt engineers assert creative direction. Training data contributors demand attribution and compensation, end users expect ownership of what they "commission" and traditional content creators fear market disruption.
So…where does this leave business owners who want to know where they stand?
- Training Data – the Foundation of Ownership Claims
The role of data in AI output - what has the model been trained on? Who owns that data, is use of that data permitted?
Are there copyright, trade mark or other IP infringement issues to worry about in terms of the content used to train the tool? If so, for whom is that a risk?
- Infringing Outputs
Does the output infringe copyright, trade mark rights or other IP? Is the content similar to existing materials? Who is liable for infringement?
Do any defences apply?
- Practical Guidance for AI Users
Review the Terms of Service for all AI tools you use and obtain appropriate licences or assignments of IP rights.
Document your creative processes carefully and keep detailed records,
Implement clear processes within your business for the use of generative AI and consider labelling AI generated work.
- Practical Guidance for AI Providers
Provide transparent disclosure around training data and give users clear terms of service about output ownership.
Keep detailed records of materials and data used to train AI models and consider opt-in models for creator content.
- Round up and questions.
Exhibitors at Tech Talent Live
Browse some of the fantastic companies exhibiting at Tech Talent Live.
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Tech Talent Live Lightning Talks
All lightning talks were held in Committee Room 1, an easily accessible room overlooking the main careers fair hall. The talks typically lasted 10 to 15 minutes per subject.
Schedule:
15:00 – Breaking into Tech: No Technical Experience? No Problem!
Discover how people from retail, music, healthcare and more are building new tech careers through low code platforms, self-learning and support from inclusive communities. This session will share powerful real-life stories and practical advice to help you confidently take your first step into tech without a traditional background.
15:30 – Why Can’t Women Thrive in Tech?
With women facing unique challenges in tech, this session will provide actionable strategies to overcome barriers like imposter syndrome and bias. You’ll gain practical advice on building confidence, developing key skills, and expanding your network to thrive in the tech sector.
16:00 – Ever Wondered About Public Sector Tech Jobs? It’s More Exciting Than You Think!
Think public sector tech is all red tape? Think again. This fast-paced session unveils how digital roles in government shape essential services used by millions, from tax collection to digital operations across departments. Discover how you can make a real impact while enjoying benefits like flexibility, job security, and room to grow. No matter your background, this could be your most exciting move yet!
16:30 – The Secret Skills That Get You Hired (and Promoted)
While technical skills open doors, soft skills like communication, adaptability, and collaboration drive career growth. This session will highlight the key soft skills tech employers value most and provide actionable tips on how to develop and showcase them.
17:00 – Want to Innovate? Try Content Design.
Discover how content design plays a crucial role in driving innovation within the tech sector. This session will introduce you to the skills and opportunities in content design and provide clear steps to start your career.
17:30 – What if 15 minutes could shed light on why your CV gets ghosted?
In this quick lightning talk you will learn about common CV pitfalls that prevent your application from standing out and practical tips to avoid them. This session is perfect for job seekers who want to make simple and effective improvements without rewriting their entire resume.
Overview
The session would be aimed at any type of tech business, or other type of business, that uses AI products - whether that is content creation, interactive legal assistants, text to speech tools, copywriting, document creation, or anything else. We would cover:
- The AI Ownership Conundrum
AI is creating billions of artifacts daily - text, images, code, music. BUT traditional IP frameworks weren't designed for non-human creators.
How can businesses be confident that they own the IP and data in what they create (using these tools) and that they are not infringing third party rights?
- The Current Legal Landscape and Key Stakeholders
Copyright traditionally requires human creativity, patent law demands human inventors. Trade mark protection focuses on consumer confusion. Jurisdictional differences create global compliance challenges.
AI developers claim rights to system outputs, AI developers claim rights to system outputs, prompt engineers assert creative direction. Training data contributors demand attribution and compensation, end users expect ownership of what they "commission" and traditional content creators fear market disruption.
So…where does this leave business owners who want to know where they stand?
- Training Data – the Foundation of Ownership Claims
The role of data in AI output - what has the model been trained on? Who owns that data, is use of that data permitted?
Are there copyright, trade mark or other IP infringement issues to worry about in terms of the content used to train the tool? If so, for whom is that a risk?
- Infringing Outputs
Does the output infringe copyright, trade mark rights or other IP? Is the content similar to existing materials? Who is liable for infringement?
Do any defences apply?
- Practical Guidance for AI Users
Review the Terms of Service for all AI tools you use and obtain appropriate licences or assignments of IP rights.
Document your creative processes carefully and keep detailed records,
Implement clear processes within your business for the use of generative AI and consider labelling AI generated work.
- Practical Guidance for AI Providers
Provide transparent disclosure around training data and give users clear terms of service about output ownership.
Keep detailed records of materials and data used to train AI models and consider opt-in models for creator content.
- Round up and questions.
Speakers
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How to get involved
Please read the information back below, and then fill out an expression of interest form. This will let us know you’d like to take part, what age the participating children are and whether you’d like any support from us or an ‘industry mentor.’
Plan your challenge, consider your resources and the participating students. Challenges can be completed in small or large groups. but please be aware that only 8-10 students from selected schools will be able to attend the celebration event.
Submit your challenge responses via our online form below. Your school can submit up to 10 entries. The deadline for responses is Friday 9 May, 2025. Please get in touch if you are struggling to meet the deadline.
The Schools Challenge steering committee will identify a small group of students from selected schools to be invited to a celebration event on the morning of Friday 20 June at South Shields Customs House.
If selected, you will be invited to attend by 23 May. There will also be an opportunity to display students‘ work as part of a number of public
exhibitions across local authority areas.
If you have any issues, contact us via email: getinvolved@technext.co.uk
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