Artificial intelligence (AI) is playing an increasing role in both technical innovation and artistic creativity. AI can support innovation and creativity in a range of ways. It can be a tool for scientists, entrepreneurs and artists, enabling new human inventions and creations. Some believe that AI will soon be inventing and creating things in ways that make it impossible to identify the human intellectual input in the final invention or work. Some feel this is happening now.

Kim Yong-rae is the CEO of Speefox, South Korea's biggest manufacturer of capacitors, and he thinks robots are key to the company's survival. The air is filled with the rhythmic thud of stamping and the buzzing of machinery moving continuously, on the ground and overhead. Capacitors are essential to almost every electronic device, and these will end up in thousands of smartphones, cameras, and home appliances. "Throughout our history, we've always had to find ways to stay ahead," Kim told Rest of World. "Automation is the next step in that process."

The tide is seemingly turning against Meta, Google and other tech giants. Groundbreaking new European Union legislation is imminent, aimed at forcing the large digital platforms to do more to keep users safe and cutting down market abuses, data capture and surveillance infrastructure. As the Digital Services Act package was being finalised, the very public crossing of swords between Elon Musk and the European Commission over Twitter captured headlines. Yet the Musk spectacle was a sideshow. Much more urgently in need of scrutiny is big tech's hidden lobbying against the DSA. It is unlikely that Brussels has previously seen campaigns on such a scale and practices so out of line with the requirements of a democratic, open society.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises. Yet, as AI applications are adopted around the world, their use can raise questions and challenges related to human values, fairness, human determination, privacy, safety and accountability, among others. This report helps build a shared understanding of AI in the present and near-term by mapping the AI technical, economic, use case and policy landscape and identifying major public policy considerations. It is also intended to help co-ordination and consistency with discussions in other national and international fora.

On June 16, 2022, the Federal Trade Commission issued a report to Congress titled Combatting Online Harms Through Innovation (the "Report") that urges policymakers and other stakeholders to exercise "great caution" about relying on artificial intelligence ("AI") to combat harmful online content. The Report comes after Congress in the 2021 Appropriations Act directed the FTC to examine ways that AI may be used to address a wide variety of specified harmful online content such as scams, deepfakes, fake reviews, opioid sales, child sexual exploitation, revenge pornography, harassment, hate crimes, incitement of violence, misleading or exploitative interfaces, terrorist and violent extremist abuse of digital platforms, election-related disinformation and counterfeit product sales. The Report expresses concerns that AI tools can be inaccurate, biased and incentivize reliance on invasive forms of commercial surveillance. The Report finds that, given that major tech platforms and others are already using AI tools to address online harms, lawmakers should consider focusing on developing legal frameworks that would ensure that AI tools do not themselves cause harm. The FTC voted 4-1 to send the Report to Congress and released separate statements on the Report from Chair Lina M. Khan, Commissioner Rebecca Kelly Slaughter, Commissioner Alvaro M. Bedoya, Commissioner Christine S. Wilson (concurring) and Commissioner Noah Joshua Phillips (dissenting).

A robot running an artificial intelligence (AI) model carries out actions that perpetuate racist and sexist stereotypes, highlighting the issues that exist when tech learns from data sets with inherent biases.

A robot running an artificial intelligence (AI) model carries out actions that perpetuate racist and sexist stereotypes, highlighting the issues that exist when tech learns from data sets with inherent biases.

Data anonymization is the process of mitigating direct and indirect privacy risks within data, such that there is a measurable way to ensure records cannot be attributed to a specific individual or entity. With an estimated 2.5 quintillion bytes of data being generated every day and an increasing reliance on data to power new applications, machine learning models and AI technologies, the importance of implementing effective anonymization techniques and removing any bottlenecks is crucial to accelerating future developments and innovations. This post is a general introduction to anonymization, and the tools and techniques for providing sufficient privacy protections, so that personally identifiable information (PII) is safe from exposure and exploitation. Data anonymization should be considered a continuous process; one that can require rapid iteration of applying various privacy engineering techniques and then measuring those privacy outcomes until a desired end state is reached. In the following sections, we'll dive deeper into our core tenets of the data anonymization process, and then walkthrough how you might apply them to a notional dataset.

Yes, it denies women and girls reproductive autonomy, but it also augurs a future where no aspect of our intimate life is ours, where even the most private spaces or relationships are ripe for surveillance, where every detail about our bodies, health, and relationships is amassed and sold. Everyone's life opportunities are on the line in a world without intimate privacy. With the evisceration of Roe and the triggering of state laws criminalizing abortion, police can access the evidence they need to pursue investigations. Our fertility, dating, and health apps, digital assistants, and cellphones track our every move, doctor visit, health condition, prescription, and search; the details of our intimate lives are sold to advertisers, marketers, and data brokers. Law enforcers can purchase or subpoena data about women's missed periods, health clinic visits, and resumed menstruation.

Increased use of AI can drive efficiencies and reduce costs in compliance management. Here's what that means for CIOs in highly regulated industries. Complying professionals can utilize automation tools rather than investing in additional solutions to decrease capital expenditures, expedite compliance, and increase flexibility. These solutions enable businesses across various industries to automate repetitive procedures, speed up business processes to increase efficiency and production, lower costs, and eliminate errors. Enterprises can expand the possibilities of automation with cognitive capabilities by combining RPA and AI, thereby increasing business value and competitiveness.