Generative AI & Copyright Concerns: Insights for Businesses
The future of art and digital creativity is changing rapidly, fuelled by artificial intelligence advances. Generative AI algorithms now enable developers to produce unique works that can deepen customer engagement and yield tremendous potential for business growth.
As generative AI becomes more advanced, businesses must consider new copyright concerns to take advantage of the technology while protecting their intellectual property. We also recognize the importance of going beyond the buzzwords and incorporating expertise from leaders at InspiringApps and our partners.
In this blog post, we’ll explore insights from the experts on how businesses can confidently navigate these waters and understand what they need to do regarding copyright law to benefit from AI without risking legal challenges.
What is generative AI—and how does it impact businesses?
Generative AI is no longer just a futuristic concept but a reality set to revolutionize how businesses operate. It is a form of AI that can now quickly generate new content, images, and sounds.
Initially, large companies were afraid of generative AI applications like ChatGPT. Today, businesses seek guidance on the business implications of generative AI to understand the technology better and implement best practices within their organizations. The race is on to apply generative AI at scale, with just a few use cases, including:
- Greater Personalization: Businesses can leverage generative AI technology to establish deeper customer connections through personalized content.
- Enhanced Productivity: With AI assistance, employees can simplify tedious and repetitive tasks, freeing up their time for critical and creative tasks.
- Content Production: Additionally, generative AI has the potential to transform the creative industry by producing a vast array of original content, from visuals to music.
Companies are finding ways to integrate generative AI capabilities into digital products, creating more targeted consumer solutions. But the journey from a spark of technology to full functionality isn’t straightforward. We’ve heard it straight from Brad Weber, InspiringApps CEO:
Our job as developers is to embed generative AI into other applications so that consumers benefit from it but don’t necessarily have to know the intricate details about how to work with it.
Developers now face the task of harnessing generative AI’s potential and integrating it into business solutions in meaningful yet user-friendly ways. We need to transform the opportunities generative AI presents into a fully functional car.
What is the relationship between generative AI and copyright law?
Tools such as ChatGPT have great potential for improving our lives. However, if not used correctly, they can also pose significant risks. Brad Weber explains:
There are lawsuits from copyright holders who say, “Hang on. Your model is fantastic, but it’s fantastic in part because you trained it on works that I generated—copyrighted works.”
While some argue that generative AI can create original content, others contend it can infringe on copyrighted works that may have trained its algorithms. With more artists and authors becoming increasingly litigious over the issue, it begs the question: how can we balance the benefits of generative AI with the need to respect intellectual property?
Tim Hayden from Brain+Trust applies a sage metaphor, quoting Willie Nelson’s emphasis on writing your own songs.
If we’re going to leverage AI for differentiated messaging, with the brand culture, with a customer-centric operation, then we don’t need to go to a third party and leverage a data set pulled from a bunch of public sources.
Corporations must be mindful of the outputs created by these tools and acknowledge any creative works produced by generative AI still fall under the jurisdiction of intellectual property laws. Companies using generative AI must be cautious of how the technology is used to create works that could infringe on existing copyrights.
What are some generative AI applications?
Generative AI has the potential to yield groundbreaking results. Being mindful of the potential legal pitfalls is just as important as leveraging the innovative capabilities of this advanced technology.
Integrating AI Assistants for Tailored Brand Experiences
Whether you are about to build a new app, maintain an existing one, or launch an app in the market for the first time, your digital product and brand must connect with customers to foster trust and create personalized experiences to engage them.
One of the most exciting and powerful potentials for generative AI is the creation of highly personalized customer experiences. By embracing generative AI on their terms, organizations can develop their brand personas and assistants, setting themselves apart and delivering unparalleled value to their customers.
With data being touted as a sacred asset, proprietary trainable models offer unparalleled protection and insight into customer journeys and relationships. Tim Hayden, CEO of Brain+Trust, predicts a surge in company-created brand personas through AI in the next 18 months, providing a personalized touch beyond what traditional apps offer. Harnessing AI to build brand-specific models will shape businesses’ futures.
Best Practices for Implementing Generative AI in Your Business
The key to generative AI success is understanding that it doesn’t replace human capabilities—it makes humans faster, wiser, and more efficient. Generative AI can assist businesses in scaling more rapidly than ever before. Here are a few best practices to make the most of AI for your business.
- Use generative AI to differentiate your brand. Creating unique and tailored content helps businesses stay ahead of the competition, providing their audiences with a more personalized and engaging experience.
- Use it to research and analyze your audience. Generative AI can identify patterns in customer behavior and generate personalized recommendations to increase engagement.
- Use it to enhance decision-making. AI can analyze large amounts of information, helping to generate data-driven insights and forecasts to inform strategic planning and operational efficiency.
- Data is key. Leverage your own proprietary data sets to train AI models, ensuring their relevance and accuracy for your specific business needs.
- Human oversight remains crucial. Don’t rely solely on AI. Combine its capabilities with human judgment and expertise for optimal results.
- Prioritize transparency and accountability. Understand how AI models reach their conclusions, mitigating potential biases and ensuring ethical usage.
Businesses can unlock a wealth of growth and innovation opportunities by strategically embracing generative AI.
What is the future of generative AI?
Generative AI has undeniably opened Pandora’s Box regarding copyright law, and the complexities are yet to be fully revealed. However, businesses in all industries should look ahead to this new technology with excitement.
Generative AI has already proven that it can revolutionize customer experiences. Businesses can create personalized content at an unprecedented rate, with deeper insight into their target customers than ever before. If harnessed correctly, generative AI promises to be incredibly valuable for businesses searching for growth in the long term.
The trend is growing fast, and more companies worldwide are beginning to adopt it each day. To stay on top of this trend and ensure that generative AI works for you strategically, let InspiringApps help manage your software development process by viewing our development work today—because the future starts now!
Build a product that will delight your users & help your business thrive
AI Artificial Intelligence
In our recent conversation with InspiringApps CEO Brad Weber, we explored the upcoming tech trends shaping the enterprise landscape in 2024, how they’ll impact our clients, and our approach to app development. Let’s dive in! Artificial Intelligence, Data Privacy & Cloud Solutions “I anticipate several trends will impact app design and development in the near future. InspiringApps is at the forefront of helping our clients adapt to the changes that technology inevitably brings.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO Artificial Intelligence Trends Artificial intelligence will continue to dominate 2024. We’re excited to help our clients employ thoughtful AI solutions—not just generative AI—to leverage corporate data better and improve user experiences. We can help companies harness the power of AI to effectively analyze vast amounts of data, which allows us to predict potential issues that customers may encounter based on their unique usage patterns. With this knowledge, we can take proactive measures to reach out and provide tailored solutions or offer extra support. That extra step can enhance the overall customer experience and strengthen their connection with a brand. Another example of how AI can help companies create exceptional customer experiences is by automating CRM systems. Artificial intelligence streamlines processes and saves valuable time by simplifying tasks such as data entry, lead scoring, and follow-up reminders. AI will use that data to provide intelligent insights so businesses can better predict which leads are most likely to convert and enable sales teams to focus their efforts more effectively. Embracing AI in customer experience leads to improved efficiency, heightened productivity, and, ultimately, better company outcomes. Data Privacy Trends Data privacy will also be important. Because AI can analyze data quickly and efficiently, it offers smaller or mid-sized companies security and privacy features previously only found in enterprise-level budgets. Added access is a win for startups in the app market, who can build trust more quickly and remain competitive. From a development standpoint, companies can build more privacy safeguards on the server side instead of relying on client-side data to find bugs, breaches, and threats. For instance, rather than relying on client-side reporting, a banking app could leverage the collected data to assess the risk of fraud on a user account or temporarily limit access until the fraud department reaches out. This approach offers greater flexibility for correlating data and dynamically controlling actions, which lets companies provide a more personalized and secure user experience while harnessing the power of AI. Cloud Computing Trends For our cloud solutions, we’re excited about microservices and event-driven architecture. Microservices can make apps more agile and easier to scale by dividing up data handling into smaller, independent parts, each with its own responsibility. If one fails, it won’t take the whole application down with it. Less downtime means happier customers. Event-driven architecture also has the potential to offer a much smoother user experience because it prioritizes immediate data handling in response to an event rather than prioritizing data loss. When a user makes a request, the event-driven architecture allows the response in real-time or very close to real-time, whereas in the past, the request would return a complete dataset—and that often took some time. The event-driven architecture allows for an on-demand response that scales. These are not brand-new concepts, but they provide companies with the super-power of agility, allowing them to adapt quickly to rapidly changing market conditions and user demands. Advice to Digital Product Owners: Take Action When things are changing so quickly, and generative AI is a good example from 2023, sometimes there is a tendency to wait until the dust settles to take action. “The dust may not settle for a long time, and you can find yourself way behind. Take action, even if it is small. Get into the mix so you can learn and iterate. That will put you in a position to take advantage of new innovations more quickly as they arise.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO Being an early adopter means staying ahead of the curve and being at the forefront of innovation. In today’s fast-paced world, technology is constantly evolving and changing. Early adopters stay ahead of their competitors and are better prepared for any future changes or advancements. Also, embracing new technologies and ideas early on helps you gain a competitive advantage in your industry. Early adopters are often seen as leaders and trendsetters, which can attract new customers and clients who want to work with innovative companies. Early adoption also presents an opportunity for learning and growth. By taking action before others, you have the chance to learn from any mistakes or challenges that may arise. This can help you refine your strategies and processes, making you more efficient and effective in the long run. Additionally, being an early adopter allows you to become familiar with new technologies or concepts before they become mainstream, giving you a head start in mastering them. Innovation Beyond the Finish Line “Innovation is key to the future of InspiringApps. We will continue to be curious and help our clients create better products by asking, ‘Why?’ Our team enjoys the variety, and our clients benefit from the work we do and the lessons we learn from that work.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO In many ways, designing and building an awesome web and mobile app only gets our clients to the starting line, not the finish line. There is so much more required for a product to be successful. We’re fortunate to have clients of all sizes spanning various industries. It creates a plethora of opportunities for us to employ new techniques and technologies in innovative ways. In 2024 and beyond, we will focus more on long-term product success. We’re bundling marketing services with design and development. We’re supplementing our clients’ own product management capabilities to interpret user feedback and product usage to shape a product roadmap that includes continuous improvement and long-term success.
2 months ago
Boulder, CO—After decades of starring in science fiction, artificial intelligence is becoming more prevalent in design, leaving professionals with questions surrounding ethics, usage, best practices, and its influence in design. Aaron Lea, Creative Director at InspiringApps, and Jake Thomas, Director of Product Design at JumpCloud, explore our AI reality. What impact will AI have on the future of design as a profession? Consumers increasingly expect a growing amount of content; AI tools supplement the process, helping designers create at scale to meet demand. But both Aaron and Jake believe AI is precisely that: a tool. AI cannot create design independently without prompting from humans, and out-of-the-box lacks essential human qualities like empathy, creativity, and critical thinking. Designers have control over what AI can do and how it can enhance workflows and creative outputs and are solely responsible for relationships with AI tools and services. Designers act as the ethical guardrails for AI tools and should ensure AI output avoids poor design or exclusion for underrepresented groups. Design in all forms is art, and artists are continuously curating. Today’s designers serve as curators of AI outputs, keeping the best parts, ditching the bad, and modifying them with their unique touch—empathy and creativity—creating the final product. “It’s the blood, sweat, and tears that give design meaning and value.“ —Aaron Lea, Art Director | InspiringApps, Boulder CO What do you think design professionals should do now to prepare for the integration of AI into workflows? Designers can be creatures of habit, but Aaron and Jake encourage other designers interested in AI to overcome the instinct to stick to what they know and explore ways AI can benefit professionally and competitively. Many designers and creatives are intimidated by AI, but in reality, they’re in a unique position to play an active role in the evolution of AI technology. Growing alongside this technology will ensure ethical improvements, usability, and inclusivity. Helping AI evolve starts with understanding how to communicate with AI tools to improve output. Before designers integrate AI into design workflows, they need to learn how to ask questions, write prompts, and interact with these tools–after all, AI is only as bright as the information it’s given. Learn about the capabilities of any tool you intend to use before integrating them into your workflow. Designers should learn from AI pioneers by following cutting-edge professionals on social media and subscribing to newsletters for up-to-date news and trends. Read the full article on Built In Colorado: https://www.builtincolorado.com/2023/08/17/powerful-tool-or-passing-fad-two-colorado-pros-weigh-future-ai
6 months ago