Throughout the artificial intelligence (AI) voyage of 2023, we have witnessed not only innovation but also some worldwide corporate transformation.
It was appropriately termed “AI’s breakout year” by McKinsey, who also noted a 40% rise in worldwide investment.
We are left wondering, as we traverse this period of ongoing innovation and corporate growth, how the spike in AI usage will affect 2024.
This post delves into our forecasts for AI, examining the top seven trends that will shape the field in the coming year.
Seven AI Forecasts For 2024
- The Next Wave Of Artificial Intelligence
If there’s one area of AI that will shine out in 2023, it’s generative AI. This year has seen a sharp increase in its profile in the tech industry as businesses have embraced the technology with great enthusiasm, creating specialized teams to investigate its extensive potential.
The development of big AI models trained on enormous datasets, which allow them to produce a variety of outputs including emails, summaries, artwork, voices, and videos, is at the core of generative AI’s growing influence.
These models have changed the way we engage with technology and increased the impact of AI in areas where data is scarce, like customer support papers from businesses.
They have simultaneously sparked creative revolutions in the fields of gaming and the arts.
As cofounder of DeepMind Mustafa Suleyman pointed out, these models are still not fully capable of managing a wide variety of jobs, despite their transformational power.
He claims that generative AI is merely a stage of interactive AI, allowing chatbots to coordinate the use of human and software resources to carry out designated tasks.
technology is anticipated that non-tech businesses would ride the AI wave in 2024, using technology to reduce expenses and boost output. The development of generative AI is still an exciting journey that is changing our lives in many ways, including how we work, play, and interact with businesses.
- Artificial Intelligence For Cybersecurity
AI’s place in cybersecurity is expected to grow, given that cyberattacks are expected to have a $10.5 trillion financial impact by the end of 2024. Due to the quick growth of AI technology, the area is seeing changes in both offensive and defensive techniques.
Phishing schemes and social engineering assaults are among the new difficulties that Generative AI brings with it in this rapidly changing environment. Professionals in cybersecurity now have more opportunities to improve their threat intelligence and response skills.
The combination of AI-powered real-time anomaly detection, intelligent authentication, and automated incident response becomes essential for bolstering our defenses against increasingly complex threats.
These cutting-edge elements not only make cybersecurity defenses more flexible and responsive, but they also highlight how important artificial intelligence is to recognizing and countering changing cyberthreats.
The nexus between AI and cybersecurity becomes increasingly prominent as we work through our AI forecasts, presenting both new potential and difficulties for fortifying our digital security posture.
- Regulation Of AI
The necessity for AI regulation has become essential due to the exponential expansion of generative AI and worries about its possible misuse, including the creation of harmful content, deepfake content, privacy violations, and automated cyberattacks. 2024 is going to be the Year of AI Regulation, if 2023 was the year of generative AI.
The implementation of the EU AI Act in 2023, a ground-breaking proposal by the European Union to develop comprehensive legislation governing artificial intelligence, marks a noteworthy advancement in this regard.
While the United States and many other nations have not yet created such restrictions, everyone agrees that precise legislation governing AI is absolutely necessary. It is anticipated that as 2024 draws nearer, more nations will actively participate in the regulatory process, increasing the momentum for the creation of these regulations.
Businesses will probably cooperate to get a consensus on these regulations. Finding a healthy balance between allowing AI to be innovative and assuring its responsible and ethical use is the fundamental objective.
4. Advancements In The Field Of Artificial General Intelligence (AGI)
As 2024 approaches, the pursuit of Artificial General Intelligence (AGI) continues to be at the forefront, with the goal of advancing AI to a degree of adaptability that is on par with human capabilities in a variety of jobs.
Continuing the momentum from the previous year’s explosion of multimodal AI models, we expect to significantly accelerate recent developments and enable AI to traverse and interpret a wide variety of data.
The key to attaining AGI is learning a variety of activities quickly and taking cues from the most basic instances. This method is guided by the prompt-based learning paradigm, which is especially clear in language models.
In the upcoming year, these developments should increase AI’s adaptability across a wide range of knowledge domains.
In addition, AI-powered code development and enhancement will represent a major advancement by 2024.
This feature could initiate a self-improvement process similar to the little improvements observed in models such as GPT or the Llama series.
This self-sufficient coding ability could help us achieve genuinely superintelligent artificial intelligence.
- AI Sustainability
In the following year, a major shift toward sustainable AI is expected to become a major trend.
Larger model development has been the main focus of traditional AI research, which has produced amazing breakthroughs but also raised questions about resource and energy use.
This creates problems for accessibility and sustainability, especially in settings with limited resources.
In response to these difficulties, a new trend that emphasizes the development of smaller, more energy-efficient models is beginning to emerge. Microsoft’s Orca 2 and Low-Rank Adaptation (LoRA) are two noteworthy advancements in this area.
The movement toward sustainable AI is expected to gain traction as 2024 draws near. The deliberate focus on building small but effective models has the potential to democratize the benefits of state-of-the-art AI, particularly for resource-constrained small businesses and environments.
- Moral AI
We believe that in 2024, ethical issues will become increasingly important as AI becomes more pervasively used in our daily lives. The need for ethical approaches and behaviors is becoming more and more apparent, from the fight against false information to addressing biases and guaranteeing openness.
The likelihood is that an unethical behavior will eventually be connected to artificial intelligence (AI) and bring this to the public’s attention, whether that is next year or another year.
In any case, the broad use of AI in many industries highlights the necessity of constant watchfulness and a resolute dedication to tackling new ethical issues.
- Scientific Findings
The advances in 2023 demonstrate how profoundly AI can change how science is discovered.
Artificial intelligence (AI) has a profound effect on many scientific fields, whether it is transforming biology by accurately predicting protein sequences and functions or accomplishing hitherto unthinkable jobs like predicting earthquakes with an astounding 70% accuracy rate.
The discovery of INS018_055 and abaucin serves as an example of how AI is transforming drug discovery.
AI’s Incredible Progress In Earthquake Forecasting
AI has improved supernova detection in astronomy, demonstrating its capacity to solve cosmic riddles.
Furthermore, AI’s practical uses are shown by its capacity to forecast weather, outperforming conventional approaches with forecasts up to several days in advance.
As 2024 approaches, the momentum created by these incredible accomplishments encourages scientists to pursue new directions and test the limits of what artificial intelligence (AI) can do for scientific research.
The Final Word
These are the forecasts from our AI. Do you concur or disagree?
2024 looks to be a pivotal year in the development of artificial intelligence, that much is certain.
The AI landscape is expected to experience previously unheard-of growth and innovation, from the ongoing development of generative AI to breakthroughs in AGI, cybersecurity, legislation, sustainability, ethics, and scientific discoveries.
The revolutionary potential of AI allows us to envision a future in which the limits of what is possible keep growing as we set out on this adventure.