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     117  0 Kommentare AB: AI Ethics and Regulation: How Investors Can Navigate the Maze

    From potentially brand-damaging ethical risks to regulatory uncertainty, AI poses challenges for investors. But there is a path forward.NORTHAMPTON, MA / ACCESSWIRE / June 18, 2024 / AllianceBernsteinBy Saskia Kort-Chick| Director of Social Research …

    From potentially brand-damaging ethical risks to regulatory uncertainty, AI poses challenges for investors. But there is a path forward.

    NORTHAMPTON, MA / ACCESSWIRE / June 18, 2024 / AllianceBernstein
    By Saskia Kort-Chick| Director of Social Research and Engagement-Responsibility and Jonathan Berkow| Director of Data Science-Equities

    Artificial intelligence (AI) poses many ethical issues that can translate into risks for consumers, companies and investors. And AI regulation, which is developing unevenly across multiple jurisdictions, adds to the uncertainty. The key for investors, in our view, is to focus on transparency and explainability.

    The ethical issues and risks of AI begin with the developers who create the technology. From there, they flow to the developers' clients - companies that integrate AI into their businesses - and on to consumers and society more broadly. Through their holdings in AI developers and companies that use AI, investors are exposed to both ends of the risk chain.

    AI is developing quicky, far ahead of most people's understanding of it. Among those trying to catch up are global regulators and lawmakers. At first glance, their activity in the AI area has grown quickly in the last few years; many countries have released related strategies and others are close to introducing them (Display).

    In reality, the progress has been uneven and is far from complete. There is no uniform approach to AI regulation across jurisdictions, and some countries introduced their regulations before ChatGPT launched in late 2022. As AI proliferates, many regulators will need to update and possibly expand the work they've already done.

    For investors, the regulatory uncertainty compounds AI's other risks. To understand and assess how to deal with these risks, it helps to have an overview of the AI business, ethical and regulatory landscape.

    Data Risks Can Damage Brands

    AI involves an array of technologies directed toward performing tasks normally done by humans and performing them in a human-like way. AI and business can intersect through generative AI, which includes various forms of content generation, including video, voice, text and music; and large language models (LLMs), a subset of generative AI focused on natural language processing. LLMs serve as foundational models for various AI applications - such as chatbots, automated content creation, and analyzing and summarizing large volumes of information - that companies are increasingly using in their customer engagement.

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    AB: AI Ethics and Regulation: How Investors Can Navigate the Maze From potentially brand-damaging ethical risks to regulatory uncertainty, AI poses challenges for investors. But there is a path forward.NORTHAMPTON, MA / ACCESSWIRE / June 18, 2024 / AllianceBernsteinBy Saskia Kort-Chick| Director of Social Research …