Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Recent breakthroughs in the field have the potential to drastically change the way we approach content creation.

En fjärdedel (25 procent) av svenskar som använder Generative AI (GenAI) på jobbet använder tjänster som de själva betalar för. Företag behöver investera i...

New research analyzes the misuse of multimodal generative AI today, in order to help build safer and more responsible technologies

Generative artificial intelligence (AI) models that can produce image, text, audio, video and more are enabling a new era of creativity and commercial opportunity. Yet, as these capabilities grow, so does the potential for their misuse, including manipulation, fraud, bullying or harassment.

As part of our commitment to develop and use AI responsibly, we published a new paper, in partnership with Jigsaw and Google.org, analyzing how generative AI technologies are being misused today. Teams across Google are using this and other research to develop better safeguards for our generative AI technologies, amongst other safety initiatives.

Together, we gathered and analyzed nearly 200 media reports capturing public incidents of misuse, published between January 2023 and March 2024. From these reports, we defined and categorized common tactics for misusing generative AI and found novel patterns in how these technologies are being exploited or compromised.

By clarifying the current threats and tactics used across different types of generative AI outputs, our work can help shape AI governance and guide companies like Google and others building AI technologies in developing more comprehensive safety evaluations and mitigation strategies.

Kommuner har speciella förutsättningar, vi är 290 parter med i grunden samma uppdrag och behov. Men vi är inte så duktiga på att koordinera oss rörande behov och digitala lösningar, det är upp till varje kommun att hitta sina lösningar vilket leder till en ojämlik digital välfärd. Samma behöver inte gälla för generativ AI, området är ett blankt papper där vi skulle kunna jobba gemensamt och dela mera. För en mer jämlik tillämpning av AI inom hela kommunsektorn, samt en mer resurseffektiv utveckling.

The IBM Institute for Business Value uses data-driven research and expert analysis to deliver thought-provoking insights to leaders on the emerging trends that will determine future success.'

Generative AI like LLMs have been touted as a boon to collective productivity. But the authors argue that leaning into the hype too much could be a mistake. Assessments of productivity typically focus on the task level and how individuals might use and benefit from LLMs. Using such findings to draw broad conclusions about firm-level performance could prove costly. The authors argue that leaders need to understand two core problems of LLMs before adopting them company-wide: 1) their persistent ability to produce convincing falsities and 2) the likely long-term negative effects of using LLMs on employees and internal processes. The authors outline a long-term perspective on LLMs, as well as what kinds of tasks LLMs can perform reliably.

If 2023 was generative AI’s breakout year, 2024 is shaping up to be the year for generative AI to prove its value. Which industries are poised to benefit most from the rapidly developing technology? This collection of insights from McKinsey’s Rodney Zemmel, Matt Fitzpatrick, Delphine Nain Zurkiya, and many others, dives into perspectives across industries, including energy and materials, real estate, life sciences, high tech, and banking. For more on how organizations can most effectively and responsibly use generative AI to create business value, check out QuantumBlack, McKinsey’s AI arm.

Gartner recommends that when developing GenAI-enabled products and services, you:

• Create a plan to deploy and test
• Focus first on the most prevalent use cases — those that are already delivering real value to users
• Draw an investment roadmap that prioritizes opportunities
• Strive to create a competitive edge
• Hold off on long-range future GenAI technology investments