AI regulation will have implications for various sectors. Industries such as healthcare, transportation,  finance, and employment will need to navigate regulatory requirements related to privacy, bias, safety, fairness, and ethical considerations when deploying AI systems.
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# AI in 2024 Predictions: What Will AI Look Like in the Future?

AI predictionsSource: Shutterstock/Andrey_Popov

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The swift progress of artificial intelligence (AI) poses a challenge to keeping pace with its continuous evolution. Daily innovations in tools, concepts, and possibilities are expanding AI’s potential. This progress is particularly driven by generative artificial intelligence, exemplified by OpenAI’s ChatGPT, Google’s Bard at the beginning of this year, and more recently, Gemini, a multimodal AI.

This disruptive technology has marked a year of substantial advancements, indicating an exponential growth trajectory akin to the broader information technology landscape. Amidst this, it seems plausible that we are still in the early phases of this upward curve.

In this context, we aim to make insightful predictions for AI in 2024, exploring its impact on various aspects of our lives and global industries. This article seeks to forecast the significant transformations anticipated due to advancements in AI technology.

## Tech Leaders’ Insights on AI in 2024

In a recent IEEE survey, top tech leaders expressed their focus on AI as the most crucial technology for 2024, with 350 executives from various countries participating in the study. AI ranked highest, followed by extended reality and cloud computing. Executives anticipate technology’s significant impact on telecommunications, manufacturing, and banking in the coming year.

Concerning AI applications, 54% foresee its role in cybersecurity to identify vulnerabilities and prevent cyberattacks, addressing rising worries about phishing, ransomware, and insider threats. Over 40% believe AI will enhance supply chain efficiency and streamline recruitment processes.

Delving into broader technological advancements, 60% foresee progress in extended reality and digital twins, fostering more efficient design, development, and testing processes. Regarding 5G, leaders highlight its potential impact on telemedicine, day-to-day communications, and remote learning.

The survey also indicates a growing interest in quantum computing due to its exponentially higher computing power. Despite these technological leaps, the survey underscores a consistent commitment to sustainability, with over 90% of tech leaders emphasizing the importance of energy-efficient systems to reduce carbon footprints.

## Is 2024 the Pinnacle of AI’s Influence?

Undoubtedly, numerous changes lie ahead. As previously mentioned, it seems we are only experiencing the initial stages of a transformative parabolic curve, and the upcoming year is expected to bring about even more substantial transformations.

Approaching 2024, AI is expected to play an ever-growing role in our daily lives. Experts predict that AI will completely change our lifestyles, social interactions, and occupations.

Here’s a closer look at some AI predictions for 2024:

### AI as a New Normal

Anticipated for widespread integration by 2024, AI is set to become a ubiquitous presence in daily life, penetrating homes, businesses, and global markets. Currently, 54% of global consumers seamlessly incorporate AI into their routines, with expectations of a substantial surge.

By the year’s end, a significant portion of the population could possess personalized AI assistants intricately tailored to individual needs.

Concurrently, investor interest is mounting, reflected in a nearly fivefold increase in references to AI-related terms during the recent U.S. second-quarter earnings season.

However, ensuring AI’s lasting success requires proving its value beyond mere technological novelty to avoid it becoming a transient trend.

### Ubiquitous Integration and Business Transformations

The widespread integration of AI is unfolding across diverse sectors simultaneously. Professionals in the field anticipate its ubiquity to be fueled by the excitement surrounding generative AI and the decreasing costs of AI technologies. This evolution is expected to drive adoption across various industries.

Experts also highlight the broad spectrum of potential AI transformations within businesses. Anticipated areas of adoption include coding, customer support, general productivity, and marketing.

The risk of unsanctioned AI use, known as Shadow AI, poses a challenge for businesses reluctant to embrace test-and-learn approaches, potentially leading to adoption outside official channels.

### Advancements and Technical Breakthroughs

A significant progress in AI capabilities is anticipated next year, with a focus on resolving existing issues. Expect a transition to models adept at handling various data types, including text, images, and audio.

The trend towards multimodal large language models (MM-LLMs) is projected to rise, addressing challenges like hallucination through tailored workflows.

A forecast suggests the upcoming innovation wave globally will spotlight AI systems featuring agents capable of intricate, ongoing interactions with humans.

Accelerated AI adoption will emphasize utilizing pre-trained models and experimenting with novel applications. The competitive edge will shift towards developing responsible and dependable AI.

Video source: YouTube/ Google

### Nurturing Responsible AI and Governance Globally

Anticipated trends suggest a significant shift towards enhanced governance for responsible AI. Experts predict a move from broad discussions on global AI governance to the establishment of dedicated bodies or institutes focusing specifically on this matter.

Emphasizing the need for careful consideration, professionals highlight the delicate balance between harnessing big data and minimizing unnecessary data collection in AI applications.

The evolving landscape of AI governance is expected to gain prominence amid increasing litigation and the widespread adoption of technology. As automation and AI usage rise, so does skepticism, emphasizing the importance of implementing effective guardrails.

Additionally, there is a growing awareness that technology alone cannot address all challenges, especially in the context of rapid climate change. A call for mindful skepticism about the future and a more inclusive approach to decision-making in shaping AI’s trajectory is underlined.

### Emergence of Advanced Deepfake Technology

Foreseeing the rise of sophisticated multimodal models, especially in video generation, prompts a need for heightened vigilance against deepfakes. These are instances where individuals appear to express statements they never made, demanding increased public awareness, particularly among voters.

As legislative actions unfold, the EU is on the brink of finalizing widespread AI regulations. The repercussions for major American tech companies and their models are still under debate but are expected to be resolved by 2024.

In the U.S., significant regulatory changes are unlikely, given the upcoming election year. Nevertheless, anticipate a surge in startups, including industry players like OpenAI, introducing larger models with enhanced capabilities.

## The Impending Reality Check for Generative AI in 2024 and Beyond

The much-hyped field of generative AI is assured for a reality check in the upcoming year, marked by dwindling enthusiasm, rising operational costs, and a call for regulatory oversight. Forecasts for the tech industry beyond 2024 indicate a shift in its perception, emphasizing practical considerations of cost, risk, and complexity over previous hype.

Major tech players are actively engaged in discussions on generative AI, but concerns arise over the inflated excitement, posing potential obstacles to successful market integration.

Generative AI models, represented by major tech companies, heavily rely on substantial computing power, often utilizing advanced graphics processing units (GPUs). Companies like Google, Amazon, Meta, Alibaba, and reportedly OpenAI are increasingly developing their AI chips for these models.

Despite its promising potential, the significant costs associated with deploying and maintaining generative AI raise accessibility concerns, particularly for smaller entities. The trend of major players moving towards proprietary AI chips adds to the financial burden, potentially limiting widespread adoption.

The overarching concern is that practical challenges, especially related to cost, may hinder its extensive integration. Nevertheless, predictions foresee impactful applications in areas like customer service, with businesses exploring broader AI applications in optimization, machine learning, and data mining.

## AI and Employment Trends

The World Economic Forum forecasts significant shifts in the job market due to AI. Over the next five years, 83 million jobs might be lost and 69 million created, resulting in a net loss of 14 million jobs.

Furthermore, 44% of workers’ core skills are expected to change over the same period, signaling a transformation in how work is done.

To adapt to these changes, professionals must prepare for new challenges and opportunities. In 2024, the job market will present challenges, but it will also unveil novel job roles, such as:

- AI Ethicist: Ensures ethical AI development and deployment, crafting guidelines for responsible AI use.
- AI Prompter: Designs smart AI prompts for tailored optimal results.
- AI Trainer: Trains AI systems to recognize patterns and make data-driven decisions.

As AI continues to advance, job transformations are inevitable. The question remains whether current predictions are too conservative, especially if achieving AGI by 2024. If not, the next decade will demand a reevaluation of economic and career models as AI takes over tasks traditionally done by humans.

## Striking a Balance for Responsible Innovation

As AI continues to evolve and its impact on society grows, the discussion around AI regulation will remain dynamic and multifaceted.

The aim is to strike a balance between fostering innovation, protecting privacy and rights, and addressing potential risks to create a regulatory framework that promotes responsible and beneficial AI deployment.

Here are some additional details on AI regulation:

### United States Approach

The United States is still grappling with finding a cohesive approach to AI regulation. The lack of consensus among policymakers and stakeholders has made it challenging to establish comprehensive regulations at the federal level. However, there have been discussions about the need for regulations to address concerns such as privacy, bias, and accountability.

### State-Level Regulations

In the absence of federal regulations, some states have taken the initiative to implement their own laws concerning AI. For example, California has enacted legislation specifically targeting deepfakes, albeit for a limited duration. These state-level regulations serve as an interim measure until federal regulations are established.

### Privacy Concerns

Privacy is a significant concern driving the push for AI regulation. As AI systems become more advanced and capable of processing vast amounts of personal data, there is a need to ensure that individuals’ privacy rights are protected. Regulations may focus on data collection, use, storage, and consent mechanisms to safeguard personal information.

### EU AI Act

The European Union has taken a proactive stance on AI regulation with the introduction of the EU AI Act. The act aims to set clear rules and guidelines for the development and deployment of AI systems. It includes provisions for transparency, accountability, and human oversight, with a focus on high-risk AI applications. The AI Act is expected to become law in early 2024, pending final EU procedures.

### Impact on Different Sectors

AI regulation will have implications for various sectors. Industries such as healthcare, transportation,  finance, and employment will need to navigate regulatory requirements related to privacy, bias, safety, fairness, and ethical considerations when deploying AI systems.

### Balancing Innovation and Regulation

Striking the right balance between fostering innovation and ensuring responsible AI practices is a critical challenge in AI regulation. While regulations are necessary to address potential risks and protect public interests, overly restrictive regulations can hinder innovation and stifle the growth of the AI industry.

### Inclusion of Smaller Entities

It is important to consider the perspectives and challenges faced by smaller AI entities, including startups and innovative companies. Ensuring that the regulatory framework is inclusive and accessible for all players in the AI ecosystem will promote fair competition and prevent the dominance of a few large corporations.

### International Cooperation

Collaboration and cooperation among countries will be crucial in establishing harmonized AI regulations. As AI technologies transcend borders, international standards and agreements can help ensure consistency and facilitate global adoption while addressing common concerns and challenges.

### Ethical Considerations

AI regulation should also encompass ethical considerations, such as transparency, fairness, explainability, and accountability. Establishing guidelines and standards for ethical AI development and deployment can help mitigate potential biases and ensure that AI systems are accountable and understandable to humans.

### Public Engagement

Engaging the public in the regulatory process and soliciting their input and concerns is essential. Public trust and understanding of AI regulation can be fostered through transparent communication and inclusive decision-making processes.

## AI in 2024: Key Takeaways

The trajectory of AI in 2024 holds great promise alongside notable challenges. While AI undergoes rapid evolution, it’s evident that we’re still in the nascent stages of its transformative journey.

Tech leaders anticipate significant advancements, envisioning AI’s integration into daily life as a fundamental aspect across various industries.

Widespread adoption of personalized AI assistants is set to change individual experiences. Businesses across sectors are embracing AI for heightened efficiency. Anticipate significant strides in AI capabilities, including the development of multi-modal models and a heightened focus on responsible AI practices.

Furthermore, discussions on responsible AI and ethics will be crucial, with the challenge lying in balancing innovation and effective regulation. Addressing privacy, bias, and accountability concerns will play a key role in crafting a regulatory framework that aligns with both progress and ethical standards.

Looking ahead, it’s evident that AI will increasingly impact our lives and society. Dealing with upcoming challenges and making the most of AI’s possibilities is vital.  The goal is to create a future where AI benefits us while ensuring the well-being and interests of humanity are protected.

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Neil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) Advisor, author of the best-seller Own the AI Revolution and sought-after speaker.
With 20+ years of business experience, Neil works to inspire clients and business partners to foster innovation and develop next generation products/solutions powered by AI.

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Neil Sahota

Neil Sahota (萨冠军) is an IBM Master Inventor, United Nations (UN) Artificial Intelligence (AI) Advisor, author of the best-seller Own the AI Revolution and sought-after speaker. With 20+ years of business experience, he works to inspire clients and business partners to foster innovation and develop next generation products/solutions powered by AI.

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